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364 results on '"[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging"'

1. Targeting HER2-breast tumors with scFv-decorated bimodal nanoprobes

Author: Alric, Christophe, Hervé-Aubert, Katel, Aubrey, Nicolas, Melouk, Souad, Lajoie, Laurie, Même, William, Même, Sandra, Courbebaisse, Yann, Ignatova, Anastasia A., Feofanov, Alexey V., Chourpa, Igor, Allard-Vannier, Emilie, Nanomédicaments et Nanosondes, EA 6295 (NMNS), Université de Tours, Infectiologie Santé Publique (ISP-311), Institut National de la Recherche Agronomique (INRA)-Université de Tours, Groupe innovation et ciblage cellulaire (GICC), EA 7501 [2018-...] (GICC EA 7501), Centre de biophysique moléculaire (CBM), Université d'Orléans (UO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), IDPS-Bertin Pharma, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry (IBCh RAS), Russian Academy of Sciences [Moscow] (RAS), Lomonosov Moscow State University (MSU), Université de Tours-Institut National de la Recherche Agronomique (INRA), Université de Tours (UT), Infectiologie et Santé Publique (UMR ISP), Institut National de la Recherche Agronomique (INRA)-Université de Tours (UT), Université d'Orléans (UO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC), French Higher Education and Research ministry under the program 'Investissements d’avenir' Grant Agreement: LabEx MAbImprove ANR-10-LABX-53–01, Russian Foundation for Basic Research (grant 16-54-76013) French Ministry of National Education, Higher Education and Research (MENESR, Project No. 321 MINERVA), Frames of European program ERA-NET RUS PLUS., Université d'Orléans (UO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Soucé, Martin, Nanomédicaments et Nanosondes, EA 6295 ( NMNS ), Infectiologie Santé Publique ( ISP-311 ), Institut National de la Recherche Agronomique ( INRA ) -Université de Tours, Génétique, Immunothérapie, Chimie et Cancer ( GICC ), Université de Tours-Centre National de la Recherche Scientifique ( CNRS ), Centre de biophysique moléculaire ( CBM ), Université d'Orléans ( UO ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry ( IBCh RAS ), Russian Academy of Sciences [Moscow] ( RAS ), and Lomonosov Moscow State University ( MSU )
Subjects: [SDV.SP.MED] Life Sciences [q-bio]/Pharmaceutical sciences/Medication, lcsh:Medical technology, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Receptor, ErbB-2, lcsh:Biotechnology, Magnetic Resonance Imaging (MRI), Contrast Media, Mice, Nude, Breast tumor, Cyanine 5.5, [SDV.CAN]Life Sciences [q-bio]/Cancer, Breast Neoplasms, chemical and pharmacologic phenomena, Ferric Compounds, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, Polyethylene Glycols, [SDV.CAN] Life Sciences [q-bio]/Cancer, [SDV.SP.MED]Life Sciences [q-bio]/Pharmaceutical sciences/Medication, Cell Line, Tumor, lcsh:TP248.13-248.65, Animals, Humans, Human Epithelial growth Receptor 2 (HER2), [SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/Biomaterials, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Fluorescent Dyes, [ SDV.SP.MED ] Life Sciences [q-bio]/Pharmaceutical sciences/Medication, Research, respiratory system, [ SDV.IB.BIO ] Life Sciences [q-bio]/Bioengineering/Biomaterials, Magnetic Resonance Imaging, [SDV.IB.BIO] Life Sciences [q-bio]/Bioengineering/Biomaterials, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, lcsh:R855-855.5, Iron oxide nanoparticle, Nanoparticles, Female, Single-Chain Antibodies, Single chain variable fragment (scFv)
Abstract: Background Recent advances in nanomedicine have shown the great interest of active targeting associated to nanoparticles. Single chain variable fragments (scFv) of disease-specific antibodies are very promising targeting entities because they are small, not immunogenic and able to bind their specific antigens. The present paper is devoted to biological properties in vitro and in vivo of fluorescent and pegylated iron oxide nanoparticles (SPIONs-Cy-PEG-scFv) functionalized with scFv targeting Human Epithelial growth Receptor 2 (HER2). Results Thanks to a site-selective scFv conjugation, the resultant nanoprobes demonstrated high affinity and specific binding to HER2 breast cancer cells. The cellular uptake of SPIONs-Cy-PEG-scFv was threefold higher than that for untargeted PEGylated iron oxide nanoparticles (SPIONs-Cy-PEG) and is correlated to the expression of HER2 on cells. In vivo, the decrease of MR signals in HER2+ xenograft tumor is about 30% at 24 h after the injection. Conclusions These results all indicate that SPIONs-Cy-PEG-scFv are relevant tumor-targeting magnetic resonance imaging agents, suitable for diagnosis of HER2 overexpressing breast tumor. Electronic supplementary material The online version of this article (10.1186/s12951-018-0341-6) contains supplementary material, which is available to authorized users.
Published: 2018

2. 3D black blood MR angiography of the carotid arteries. A simple sequence for plaque hemorrhage and stenosis evaluation

Author: Philip M. Robson, Zahi A. Fayad, Clément Bidet, Laura Mechtouff, Monica Sigovan, Sébastien Bros, Philippe Douek, Antoine Millon, Loic Boussel, Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de Radiologie et IRM, Hospices Civils de Lyon, Hospices Civils de Lyon (HCL), Service de neurologie C [Hôpital Pierre Wertheimer - HCL], Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Department of Radiology and Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Icahn School of Medicine at Mount Sinai [New York] (MSSM), Département de chirurgie vasculaire, 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Hospices Civils de Lyon ( HCL ), Service de neurologie C, Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Hospices Civils de Lyon ( HCL ) -Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL], and Icahn School of Medicine at Mount Sinai [New York]
Subjects: Male, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, animal diseases, Carotid arteries, Contrast Media, Plaque, Amyloid, Constriction, Pathologic, Intraplaque hemorrhage, 030218 nuclear medicine & medical imaging, 0302 clinical medicine, Image Processing, Computer-Assisted, Medicine, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Observer Variation, medicine.diagnostic_test, Middle Aged, Magnetic Resonance Imaging, Plaque, Atherosclerotic, Carotid Arteries, Female, Radiology, Artifacts, Adult, medicine.medical_specialty, Black blood, Biomedical Engineering, Biophysics, Color, Hemorrhage, Sensitivity and Specificity, Article, 03 medical and health sciences, Imaging, Three-Dimensional, Carotid stenosis, Humans, Radiology, Nuclear Medicine and imaging, Aged, Sequence (medicine), Models, Statistical, business.industry, Mr angiography, Reproducibility of Results, Atherosclerosis, medicine.disease, nervous system diseases, Stenosis, 3D MRI, Angiography, business, Magnetic Resonance Angiography, 030217 neurology & neurosurgery
Abstract: International audience; ObjectivesTo evaluate the diagnostic performance of a new three-dimensional T1-weighted turbo-spin-echo sequence (3D T1-w TSE) compared to 3D contrast-enhanced angiography (CE-MRA) for stenosis measurement and compared to 2D T1-w TSE for intra-plaque hemorrhage (IPH) detection.MethodsEighty three patients underwent carotid MRI, using a new elliptic-centric phase encoding T1-weighted 3D TSE sequence in addition to the clinical protocol.Two observers evaluated image quality, presence of flow artifacts, and presence of intra-plaque hemorrhage, and computed the NASCET degree of stenosis for CE-MRA and for the new sequence. Inter-observer agreement and correlation between 3D TSE and CE-MRA for NASCET stenosis was estimated using Cohen's kappa, and correlation using linear regression and Bland-Altman plots.Histology was performed on endarterectomy samples for 18 patients. Sensitivity and specificity of 2D and 3D TSE for IPH diagnosis were computed.Results3D TSE showed better image quality than 2D TSE (p
Published: 2017

3. Optimal control theory for applications in Magnetic Resonance Imaging

Author: van Reeth, Eric, Ratiney, Hélène, Lapert, Marc, Glaser, Steffen, Sugny, Dominique, 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Department of Chemistry [Munich], Technische Universität München [München] ( TUM ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Rayet, Béatrice, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB)
Subjects: Quantum Physics, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Magnetic resonance imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Optimal control theory, lcsh:T57-57.97, lcsh:Applied mathematics. Quantitative methods, FOS: Physical sciences, Spin dynamics, Quantum Physics (quant-ph), [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: We apply innovative mathematical tools coming from optimal control theory to improve theoretical and experimental techniques in Magnetic Resonance Imaging (MRI). This approach allows us to explore and to experimentally reach the physical limits of the corresponding spin dynamics in the presence of typical experimental imperfections and limitations. We study in this paper two important goals, namely the optimization of image contrast and the maximization of the signal to noise per unit time. We anticipate that the proposed techniques will find practical applications in medical imaging in a near future to help the medical diagnosis., Comment: 19 pages, 7 figures, to be published in Pacific Journal of Mathematics for Industry
Published: 2017

4. Active control of the spatial MRI phase distribution with optimal control theory

Author: Kevin Tse Ve Koon, Steffen J. Glaser, Dominique Sugny, Elisabeth Brusseau, Hélène Ratiney, Olivier Beuf, Simon A. Lambert, Pauline Lefebvre, Denis Grenier, Eric Van Reeth, 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 3 - Imagerie Ultrasonore, Department of Chemistry [Munich], Technische Universität München [München] ( TUM ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Bourgogne ( UB ), Institute of Advanced Study, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie Ultrasonore, Technische Universität München [München] (TUM), Laboratoire Interdisciplinaire Carnot de Bourgogne [Dijon] (LICB), Université de Bourgogne (UB)-Université de Technologie de Belfort-Montbeliard (UTBM)-Centre National de la Recherche Scientifique (CNRS), Plateforme d'Imagerie Multimodale LyonTech (PILoT), Rayet, Béatrice, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY], Nuclear and High Energy Physics, Scanner, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Biophysics, Phase (waves), 010402 general chemistry, 01 natural sciences, Biochemistry, Imaging phantom, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Magnetization, 0302 clinical medicine, Optics, Nuclear magnetic resonance, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], RF pulses design, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, MR elastography, Physics, business.industry, Condensed Matter Physics, Optimal control, 0104 chemical sciences, Magnetic resonance elastography, MRI phase, Phase control, Distribution (mathematics), Optimal control theory, business
Abstract: International audience; This paper investigates the use of Optimal Control (OC) theory to design Radio-Frequency (RF) pulses that actively control the spatial distribution of the MRI magnetization phase. The RF pulses are generated through the application of the Pontryagin Maximum Principle and optimized so that the resulting transverse magnetization reproduces various non-trivial and spatial phase patterns. Two different phase patterns are defined and the resulting optimal pulses are tested both numerically with the ODIN MRI simulator and experimentally with an agar gel phantom on a 4.7 T small-animal MR scanner. Phase images obtained in simulations and experiments are both consistent with the defined phase patterns. A practical application of phase control with OC-designed pulses is also presented, with the generation of RF pulses adapted for a Magnetic Resonance Elastography experiment. This study demonstrates the possibility to use OC-designed RF pulses to encode information in the magnetization phase and could have applications in MRI sequences using phase images.
Published: 2017

5. Wideband 2-D Array Design Optimization With Fabrication Constraints for 3-D US Imaging

Author: Marc Robini, Alessandro Ramalli, Christian Cachard, Emmanuel Roux, Piero Tortoli, Herve Liebgott, Department of Information Engineering [Firenze], Università degli Studi di Firenze [Firenze], Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 3 - Imagerie Ultrasonore, Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie Ultrasonore, Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE)
Subjects: Optimization, Engineering, Scanner, 2-D transducers, Acoustics and Ultrasonics, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 02 engineering and technology, 01 natural sciences, Imaging, Sparse array, simulated annealing (SA), 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Electrical and Electronic Engineering, Wideband, 010301 acoustics, Instrumentation, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], business.industry, 3-D ultrasound (US), 020208 electrical & electronic engineering, Finite element analysis, Volume (computing), Two dimensional displays, Acoustics, Function (mathematics), Finite element method, Simulated annealing, Three-dimensional displays, Probes, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, sparse array, Energy (signal processing)
Abstract: Ultrasound (US) 2-D arrays are of increasing interest due to their electronic steering capability to investigate 3-D regions without requiring any probe movement. These arrays are typically populated by thousands of elements that, ideally, should be individually driven by the companion scanner. Since this is not convenient, the so-called microbeamforming methods, yielding a prebeamforming stage performed in the probe handle by suitable custom integrated circuits, have so far been implemented in a few commercial high-end scanners. A possible approach to implement relatively cheap and efficient 3-D US imaging systems is using 2-D sparse arrays in which a limited number of elements can be coupled to an equal number of independent transmit/receive channels. In order to obtain US beams with adequate characteristics all over the investigated volume, the layout of such arrays must be carefully designed. This paper provides guidelines to design, by using simulated annealing optimization, 2-D sparse arrays capable of fitting specific applications or fabrication/implementation constraints. In particular, an original energy function based on multidepth 3-D analysis of the beam pattern is also exploited. A tutorial example is given, addressed to find the $N_{\mathrm{ e}}$ elements that should be activated in a 2-D fully populated array to yield efficient acoustic radiating performance over the entire volume. The proposed method is applied to a $32 \times 32$ array centered at 3 MHz to select the 128, 192, and 256 elements that provide the best acoustic performance. It is shown that the 256-element optimized array yields sidelobe levels even lower (by 5.7 dB) than that of the reference 716-element circular and (by 10.3 dB) than that of the reference 1024-element array.
Published: 2017

6. A Sparse Reconstruction Framework for Fourier-Based Plane-Wave Imaging

Author: Francois Varray, Yves Wiaux, Adrien Besson, Jean-Philippe Thiran, Denis Friboulet, Herve Liebgott, Miaomiao Zhang, Rafael E. Carrillo, Olivier Bernard, Heriot-Watt University [Edinburgh] ( HWU ), 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 3 - Imagerie Ultrasonore, Signal Processing Laboratory [Lausanne] ( LTS5 ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Heriot-Watt University [Edinburgh] (HWU), Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie Ultrasonore, Signal Processing Laboratory [Lausanne] (LTS5), and Ecole Polytechnique Fédérale de Lausanne (EPFL)
Subjects: Inverse problems, Point spread function, Acoustics and Ultrasonics, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Image quality, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Image registration, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, Iterative reconstruction, 01 natural sciences, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, symbols.namesake, Magnetic resonance imaging, 0302 clinical medicine, 0103 physical sciences, Image Processing, Computer-Assisted, Electronic engineering, Electrical and Electronic Engineering, 010301 acoustics, Instrumentation, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Ultrasonography, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], Fourier Analysis, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], Phantoms, Imaging, Two dimensional displays, Signal Processing, Computer-Assisted, k-space, Sparse approximation, Models, Theoretical, Fourier transform, Compressed sensing, Computer Science::Computer Vision and Pattern Recognition, Image reconstruction, Array signal processing, symbols, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm
Abstract: International audience; Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due to its capability of reaching high frame rates. Among PW imaging methods, Fourier-based approaches have demonstrated to be competitive compared with traditional delay and sum methods. Motivated by the success of compressed sensing techniques in other Fourier imaging modalities, like magnetic resonance imaging, we propose a new sparse regularization framework to reconstruct high-quality ultrasound (US) images. The framework takes advantage of both the ability to formulate the imaging inverse problem in the Fourier domain and the sparsity of US images in a sparsifying domain. We show, by means of simulations, in vitro and in vivo data, that the proposed framework significantly reduces image artifacts, i.e., measurement noise and sidelobes, compared with classical methods, leading to an increase of the image quality.
Published: 2016

7. Ethylene-vinyl alcohol copolymer (Onyx®) transarterial embolization for post-traumatic high-flow priapism

Author: Romaric Loffroy, Alain Foahom-Kamwa, Sylvain Favelier, Pierre Pottecher, Sophie Gehin, Olivier Chevallier, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Department vascular, oncologic ans interventional radiology (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Point médical (Dijon), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, and Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon )
Subjects: medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Fistula, Priapism, 030232 urology & nephrology, Case Report, Computed tomography, [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine, [ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Blunt, transarterial embolization, Ethylene vinyl alcohol copolymer, Transarterial embolization, medicine, ethylene-vinyl alcohol copolymer, Radiology, Nuclear Medicine and imaging, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, High-flow priapism, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, medicine.diagnostic_test, business.industry, computed tomography, Color doppler, High flow priapism, medicine.disease, 3. Good health, Surgery, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Radiology, business
Abstract: International audience; We report a case of high-flow priapism treated successfully with superselective embolization of the cavernous artery. A 16-year-old male developed post-traumatic priapism subsequent to a fall causing blunt perineal trauma. He presented to our hospital four days after trauma. Immediately after the injury, he suffered painless sustained incomplete erection. High-flow priapism was diagnosed on the basis of color doppler ultrasonography findings. Computed tomography scan showed a high-flow arterio-venous fistula with feeders from branches of the right internal iliac artery. Selective arteriography of the right internal pudendal artery demonstrated an arterio-cavernous fistula. The fistula was superselectively embolized with ethylene-vinyl alcohol copolymer (Onyx (R)) liquid agent and disappeared completely. Improvement was noted, with significant detumescence on table. This was later confirmed on repeat color Doppler imaging. At follow-up 3 months later, he had normal erectile function. To our knowledge, transarterial embolization of high-flow priapism with Onyx (R) has never been reported and appears to be a safe and effective treatment for managing patients with such a condition.
Published: 2016

8. Cardiac fiber tracking using adaptive particle filtering based on tensor rotation invariant in MRI

Author: Isabelle E. Magnin, Fanhui Kong, Wanyu Liu, Yuemin Zhu, Metislab, LIA CNRS Harbin Institute of Technology, Department of Information Science & Technology, Heilongjiang University [Harbin], Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Heilongjiang University, 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), and Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA )
Subjects: Adaptive sampling, Heart Diseases, Rotation, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Posterior probability, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, Pattern Recognition, Automated, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Image Interpretation, Computer-Assisted, Fractional anisotropy, Humans, Radiology, Nuclear Medicine and imaging, Computer vision, Invariant (mathematics), Anisotropy, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Eigenvalues and eigenvectors, Mathematics, Models, Statistical, Radiological and Ultrasound Technology, business.industry, Heart, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Artificial intelligence, Particle filter, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithms, 030217 neurology & neurosurgery, Diffusion MRI
Abstract: International audience; Diffusion magnetic resonance imaging (dMRI) is a non-invasive method currently available for cardiac fiber tracking. However, accurate and efficient cardiac fiber tracking is still a challenge. This paper presents a probabilistic cardiac fiber tracking method based on particle filtering. In this framework, an adaptive sampling technique is presented to describe the posterior distribution of fiber orientations by adjusting the number and status of particles according to the fractional anisotropy of diffusion. An observation model is then proposed to update the weight of particles by rotating diffusion tensor from the primary eigenvector to a given fiber orientation while keeping the shape of the tensor invariant. The results on human cardiac dMRI show that the proposed method is robust to noise and outperforms conventional streamline and particle filtering techniques.
Published: 2016

9. Analysis vs Synthesis-based Regularization for combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla

Author: Antoine Grigis, Hamza Cherkaoui, Alexandre Vignaud, Philippe Ciuciu, Jean-Luc Starck, F. Poupon, L. El Gueddari, C. Lazarus, S. Farrens, Centre d'Etude de Saclay, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Modelling brain structure, function and variability based on high-field MRI data ( PARIETAL ), Service NEUROSPIN ( NEUROSPIN ), Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), Service NEUROSPIN (NEUROSPIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Subjects: Physics, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, Image quality, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Wavelet transform, 02 engineering and technology, Iterative reconstruction, Regularization (mathematics), 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Orthogonal wavelet, 0302 clinical medicine, Wavelet, Compressed sensing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Prior probability, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, 020201 artificial intelligence & image processing, Algorithm, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: Compressed Sensing (CS) has allowed a significant reduction of acquisition times in MRI, especially in the high spatial resolution (e.g., 400 $\mu{\mathrm{m}}$ ) context. Nonlinear CS reconstruction usually relies on analysis (e.g., Total Variation) or synthesis (e.g., wavelet) based priors and $\ell_{1}$ regularization to promote sparsity in the transform domain. Here, we compare the performance of several orthogonal wavelet transforms with those of tight frames for MR image reconstruction in the CS setting combined with parallel imaging (multiple receiver coil). We show that overcomplete dictionaries such as the fast curvelet transform provide improved image quality as compared to orthogonal transforms. For doing so, we rely on an analysis-based formulation where the underlying $\ell_{1}$ regularized criterion is minimized using a primal dual splitting method (e.g., Condat-V $\tilde{u}$ algorithm). Validation is performed on ex-vivo baboon brain $T^{*}_{2}$ MRI data collected at 7 Tesla and restrospectively under-sampled using non-Cartesian schemes (radial and Sparkling). We show that multiscale analysis priors based on tight frames instead of orthogonal transforms achieve better image quality (pSNR, SSIM) in particular at low signal-to-noise ratio.
Published: 2018

10. Nanoparticules multimodales à base de lanthanides pour l’imagerie biomédicale et le suivi de cellules mésenchymateuses

Author: Santelli , Julien, Matériaux Multi-fonctionnels et Multi-échelles (CEMES-M3), Centre d'élaboration de matériaux et d'études structurales (CEMES), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie de Toulouse (ICT-FR 2599), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut de Chimie du CNRS (INC)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut de Chimie du CNRS (INC)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), CHROMALYS, Région Midi-Pyrénées, UPS Toulouse - Université Toulouse 3 Paul Sabatier, Marc Verelst, Robert Mauricot, Matériaux Multi-fonctionnels et Multi-échelles ( CEMES-M3 ), Centre d'élaboration de matériaux et d'études structurales ( CEMES ), Institut National des Sciences Appliquées - Toulouse ( INSA Toulouse ), Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Université Paul Sabatier - Toulouse 3 ( UPS ) -Centre National de la Recherche Scientifique ( CNRS ) -Institut National des Sciences Appliquées - Toulouse ( INSA Toulouse ), Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Université Paul Sabatier - Toulouse 3 ( UPS ) -Centre National de la Recherche Scientifique ( CNRS ), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut de Chimie de Toulouse (ICT), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), and Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)
Subjects: nanoparticules d’oxysulfure de lanthanides, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, imagerie biomédicale multimodale, [ SDV.BIO ] Life Sciences [q-bio]/Biotechnology, imagerie par résonnance magnétique, computed tomography, [CHIM.MATE]Chemical Sciences/Material chemistry, [ SDV.BC.IC ] Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB], lanthanide oxysulfide nanoparticles, tomodensitométrie, [ CHIM.MATE ] Chemical Sciences/Material chemistry, suivi de cellules mésenchymateuses, [SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB], [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, magnetic resonance imaging, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, fluorescence, mesenchymal cells tracking, multimodal biomedical imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: The objective of these works was to put into practice the use of lanthanide-based multimodal nanoparticles (NPs) for biomedical imaging in general and mesenchymal cells (MSCs) tracking in particular. To that purpose, two types of NPs have been used, both presenting a gadolinium oxysulfide (Gd2O2S) matrix allowing magnetic resonance imaging (MRI) and computed tomography. The addition of dopant elements brings fluorescence properties: europium (Gd2O2S :Eu3+) is more appropriate for an in vitro examination whereas the combination ytterbium/thulium (Gd2O2S :Yb3+/Tm3+) is more appropriate for an in vivo examination through the up-conversion process.First, we have demonstrated the possibility of visualizing those NPs over-time in a living organism with complementary methods (MRI and fluorescence). The complete study of their biodistribution and ways of elimination allowed us to highlight a hepatobiliary metabolization associated with a slow feces excretion.The labeling of a wide variety of cell types (lines and primary cells from different species) has also pointed out their potential as a universal cell tracer.Thereafter, we focused our research on mesenchymal cells tracking in a cell therapy context. Short, medium and long term biocompatibility was validated via a series of analyses (MTT, neutral red, wound healing and differentiation) and the reliability of the tracer was confirmed by detailed study of the cell labeling.Finally, after developing a custom-made system dedicated to up-conversion imaging in small animals, we were able to perform over-time tracking of those labeled cells after injection in a solid organ. We achieved multimodal imaging of the MSCs with MRI, computed tomography and up-conversion.Altogether, these results underline the potential of these nanoparticles for long term imaging in preclinical and/or clinical studies.; L’objectif de ces travaux a été de mettre en pratique l’utilisation de nanoparticules multimodales (NPs) à base de lanthanides pour l’imagerie biomédicale en général et le suivi de cellules mésenchymateuses (MSCs) en particulier. Dans cette optique, deux types de NPs ont été utilisées, présentant toutes deux une matrice d’oxysulfure de gadolinium (Gd2O2S) permettant l’imagerie par résonnance magnétique (IRM) et la tomodensitométrie. L’ajout d’éléments dopants apporte des propriétés de fluorescence : l’europium (Gd2O2S :Eu3+), plus adapté à un examen in vitro et le couple ytterbium/thulium (Gd2O2S :Yb3+/Tm3+) à un examen in vivo grâce au phénomène de conversion ascendante de photons (up-conversion).Nous avons, dans un premier temps, démontré la possibilité de visualiser ces NPs au cours du temps au sein d’un organisme vivant par des méthodes complémentaires (IRM et fluorescence). L’étude complète de leur distribution et des voies d’élimination nous a permis de mettre en évidence une métabolisation hépatobiliaire associée à une lente excrétion dans les fèces.Le marquage d’un grand nombre de types cellulaires (lignées et cellules primaires d’espèces différentes) a également mis en avant leur potentiel en tant que traceur cellulaire universel. Nous avons par la suite concentré nos travaux sur le suivi de cellules mésenchymateuses dans un contexte de thérapie cellulaire. La biocompatibilité cellulaire à court, moyen et long terme a été validée par une série d’analyses (MTT, rouge neutre, wound healing, différenciation) et la fiabilité du traceur a été confirmée par l’étude approfondie du marquage cellulaire.Enfin, après mise au point d’un système personnalisé dédié à l’imagerie par up-conversion chez le petit animal, nous avons pu réaliser le suivi de ces cellules marquées, au cours du temps après injection dans un organe solide. Nous avons alors été en mesure de visualiser les MSCs par imagerie multimodale : IRM ; tomodensitométrie et fluorescence par up-conversion.L’ensemble de ces résultats met en avant le potentiel de ces nanoparticules pour l’imagerie à long terme dans des études précliniques et/ou cliniques.
Published: 2018

11. AUTOMATIC NEEDLE LOCALIZATION IN 3D ULTRASOUND IMAGES FOR BRACHYTHERAPY

Author: Hatem Younes, Jocelyne Troccaz, Sandrine Voros, Gestes Medico-chirurgicaux Assistés par Ordinateur (TIMC-IMAG-GMCAO), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), ANR-16-CE19-0011,FOCUS,Système de planification et de guidage innovant pour la curiethérapie focale de la prostate(2016), ANR-11-LABX-0004,CAMI,Gestes Médico-Chirurgicaux Assistés par Ordinateur(2011), GMCAO, Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications [Grenoble] ( TIMC-IMAG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -IMAG-Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -IMAG-Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre d'Investigation Clinique - Innovation Technologique - INSERM - CHU de Grenoble ( CIC-IT Grenoble (CIT803) ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre Hospitalier Universitaire de Grenoble-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre Hospitalier Universitaire de Grenoble, Techniques de l’Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications ( TIMC-IMAG ), Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), ANR-16-CE19-0011,FOCUS, ANR-11-LABX-0004/11-LABX-0004,CAMI,Gestes Médico-Chirurgicaux Assistés par Ordinateur ( 2011 ), Troccaz, Jocelyne, Système de planification et de guidage innovant pour la curiethérapie focale de la prostate - - FOCUS2016 - ANR-16-CE19-0011 - AAPG2016 - VALID, and Gestes Médico-Chirurgicaux Assistés par Ordinateur - - CAMI2011 - ANR-11-LABX-0004 - LABX - VALID
Subjects: [ INFO ] Computer Science [cs], Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, medicine.medical_treatment, Physics::Medical Physics, 0206 medical engineering, Brachytherapy, 02 engineering and technology, [INFO] Computer Science [cs], Curvature, computer.software_genre, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Needle segmentation, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 0302 clinical medicine, Voxel, Bayesian classifier, medicine, 3D ultrasound, Computer vision, Segmentation, [INFO]Computer Science [cs], [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Needle localization, medicine.diagnostic_test, business.industry, Ultrasound, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020601 biomedical engineering, Thresholding, 3. Good health, Data set, 3D Ultrasound image, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Prostate brachytherapy, Artificial intelligence, business, computer
Abstract: International audience; Needle segmentation in ultrasound images may be the indispensable step to solve other problems, such as the detection of radioactive seeds in ultrasound images for brachytherapy treatment. In this paper we propose a novel method to localize accurately curved paths of flexible needles in three-dimensional (3D) ultrasound images. Our method is based on an automatic thresholding step where the bayesian clas-sifier theory is applied to select a needle's voxels from the background. The next step consists in detecting the needle and representing its curvature. Here we propose to fit a para-metric polynomial of low degree to representing the parabolic curvature. We describe a first evaluation on a data set of 9 patients .
Published: 2018

12. Regional hippocampal vulnerability in early multiple sclerosis: a dynamic pathological spreading from dentate gyrus to CA1

Author: Bruno Brochet, Vincent Dousset, Pierrick Coupé, José V. Manjón, Mathilde Deloire, José E. Romero, Vincent Planche, Thomas Tourdias, Aurélie Ruet, Ismail Koubiyr, Université de Bordeaux (UB), Universitat Politècnica de València (UPV), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Patch-based processing for medical and natural images (PICTURA), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Service de neurologie [Bordeaux], CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Neuroinflammation: imagerie et thérapie de la sclérose en plaques, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bordeaux ( UB ), Universidad Politécnica de Valencia, Laboratoire Bordelais de Recherche en Informatique ( LaBRI ), Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, PICTURA, Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, and Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale ( INSERM )
Subjects: 0301 basic medicine, Male, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Hippocampus, Hippocampal formation, Pattern Recognition, Automated, 0302 clinical medicine, Cognition, Gyrus, Global brain atrophy, Image Processing, Computer-Assisted, Longitudinal Studies, Prospective Studies, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Research Articles, Clinically isolated syndrome, Radiological and Ultrasound Technology, Organ Size, Magnetic Resonance Imaging, Hippocampal subfields, medicine.anatomical_structure, Neurology, [ SDV.NEU.NB ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Cardiology, Disease Progression, Female, Anatomy, MRI, Adult, medicine.medical_specialty, Multiple sclerosis, 03 medical and health sciences, Atrophy, Internal medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Dentate gyrus, business.industry, medicine.disease, 030104 developmental biology, nervous system, FISICA APLICADA, Neurology (clinical), Verbal memory, business, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: [EN] Background: Whether hippocampal subfields are differentially vulnerable at the earliest stages of multiple sclerosis (MS) and how this impacts memory performance is a current topic of debate. Method: We prospectively included 56 persons with clinically isolated syndrome (CIS) suggestive of MS in a 1-year longitudinal study, together with 55 matched healthy controls at baseline. Participants were tested for memory performance and scanned with 3T MRI to assess the volume of 5 distinct hippocampal subfields using automatic segmentation techniques. Results: At baseline, CA4/dentate gyrus was the only hippocampal subfield with a volume significantly smaller than controls (p < .01). After one year, CA4/dentate gyrus atrophy worsened (-6.4%, p < .0001) and significant CA1 atrophy appeared (both in the stratum-pyramidale and the stratum radiatum-lacunosum-moleculare, -5.6%, p < .001 and -6.2%, p < .01, respectively). CA4/dentate gyrus volume at baseline predicted CA1 volume one year after CIS (R-2 = 0.44 to 0.47, p < .001, with age, T2 lesion-load, and global brain atrophy as covariates). The volume of CA4/dentate gyrus at baseline was associated with MS diagnosis during follow-up, independently of T2-lesion load and demographic variables (p < .05). Whereas CA4/dentate gyrus volume was not correlated with memory scores at baseline, CA1 atrophy was an independent correlate of episodic verbal memory performance one year after CIS (beta = 0.87, p < .05). Conclusion: The hippocampal degenerative process spread from dentate gyrus to CA1 at the earliest stage of MS. This dynamic vulnerability is associated with MS diagnosis after CIS and will ultimately impact hippocampal-dependent memory performance., ARSEP Foundation; Bordeaux University Hospital; TEVA Laboratories; French Agence Nationale de la Recherche, Grant/Award Numbers: ANR-10-LABX-57, ANR-10-LABX-43, ANR-10-IDEX-03-02, ANR-10-COHO-002; UPV, Grant/Award Numbers: UPV2016-0099, TIN2013-43457-R; Ministerio de Economia y competitividad
Published: 2018

13. Fast Volumetric Ultrasound B-Mode and Doppler Imaging with a New High-Channels Density Platform for Advanced 4D Cardiac Imaging/Therapy

Author: William Apoutou N'Djin, Jean-Yves Chapelon, Francois Varray, Lorena Petrusca, Rémi Souchon, Herve Liebgott, Magalie Viallon, Adeline Bernard, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie Ultrasonore, Application des ultrasons à la thérapie (LabTAU), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), Plateforme d'Imagerie Multimodale LyonTech (PILoT), ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 3 - Imagerie Ultrasonore, Application des ultrasons à la thérapie ( LabTAU ), Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Plateforme d'Imagerie Multimodale LyonTech ( PILoT ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), ANR-11-IDEX-0007-02/11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation ( 2011 ), Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon]-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: Computer science, Image quality, cardiac, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, ultrasound, 4-D, fast volumetric imaging, platform, advanced imaging, power doppler, 01 natural sciences, Doppler imaging, lcsh:Technology, Imaging phantom, 030218 nuclear medicine & medical imaging, lcsh:Chemistry, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Contrast-to-noise ratio, 0103 physical sciences, General Materials Science, 010301 acoustics, Instrumentation, lcsh:QH301-705.5, Cardiac imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Fluid Flow and Transfer Processes, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], business.industry, lcsh:T, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], Process Chemistry and Technology, General Engineering, lcsh:QC1-999, Computer Science Applications, Transmission (telecommunications), lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, symbols, Contrast ratio, business, lcsh:Engineering (General). Civil engineering (General), Doppler effect, Computer hardware, lcsh:Physics
Abstract: International audience; A novel ultrasound (US) high-channels platform is a prerequisite to open new frontiers in diagnostic and/or therapy by experimental implementation of innovative advanced US techniques. To date, a few systems with more than 1000 transducers permit full and simultaneous control in both transmission and receiving of all single elements of arrays. A powerful US platform for implementing 4-D (real-time 3-D) advanced US strategies, offering full research access, is presented in this paper. It includes a 1024-elements array prototype designed for 4-D cardiac dual-mode US imaging/therapy and 4 synchronized Vantage systems. The physical addressing of each element was properly chosen for allowing various array downsampled combinations while minimizing the number of driving systems. Numerical simulations of US imaging were performed, and corresponding experimental data were acquired to compare full and downsampled array strategies, testing 4-D imaging sequences and reconstruction processes. The results indicate the degree of degradation of image quality when using full array or downsampled combinations, and the contrast ratio and the contrast to noise ratio vary from 7.71 dB to 2.02 dB and from 2.99 dB to −7.31 dB, respectively. Moreover, the feasibility of the 4-D US platform implementation was tested on a blood vessel mimicking phantom for preliminary Doppler applications. The acquired data with fast volumetric imaging with up to 2000 fps allowed assessing the validity of common 3-D power Doppler, opening in this way a large field of applications.
Published: 2018

14. Segmentation of clustered cells in negative phase contrast images with integrated light intensity and cell shape information

Author: Wang , Yuliang, Wang , C., Zhang , Zaicheng, School of Mechanical Engineering and Automation [Beijing], Beihang University-Robotics Institute, Laboratoire Ondes et Matière d'Aquitaine ( LOMA ), Université de Bordeaux ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), Beihang University (BUAA)-Robotics Institute, Laboratoire Ondes et Matière d'Aquitaine (LOMA), and Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Automation, Laboratory, Intravital Microscopy, clustered cells, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Epithelial Cells, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, shape, light intensity, negative phase contrast images, Image Processing, Computer-Assisted, grey-weighted distance transform, Humans, Microscopy, Phase-Contrast, Cell segmentation, Cell Shape, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Automated cell segmentation plays a key role in characterisa-tions of cell behaviours for both biology research and clinical practices. Currently, the segmentation of clustered cells still remains as a challenge and is the main reason for false segmenta-tion. In this study, the emphasis was put on the segmentation of clustered cells in negative phase contrast images. A new method was proposed to combine both light intensity and cell shape information through the construction of grey-weighted distance transform (GWDT) within preliminarily segmented areas. With the constructed GWDT, the clustered cells can be detected and then separated with a modified region skeleton-based method. Moreover, a contour expansion operation was applied to get optimised detection of cell boundaries. In this paper, the working principle and detailed procedure of the proposed method are described, followed by the evaluation of the method on clustered cell segmentation. Results show that the proposed method achieves an improved performance in clustered cell segmentation compared with other methods, with 85.8% and 97.16% accuracy rate for clustered cells and all cells, respectively.
Published: 2018

15. Electro-optic probe for real-time assessments of RF electric field produced in an MRI scanner: Feasibility tests at 3 and 4.7 T

Author: Anne-Laure Perrier, Raphaël Sablong, Isabelle Saniour, Lionel Duvillaret, Gwenaël Gaborit, Olivier Beuf, Laurane Gillette, Guillaume Revillod, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation (IMEP-LAHC ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Kapteos SAS, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation ( IMEP-LAHC ), Centre National de la Recherche Scientifique ( CNRS ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Institut National Polytechnique de Grenoble ( INPG ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -Université Grenoble Alpes ( UGA ), 5 - RMN et optique : De la mesure aux biomarqueurs, and Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL )
Subjects: Scanner, Materials science, Optical Phenomena, Radio Waves, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Physics::Medical Physics, 02 engineering and technology, Dielectric, Signal-To-Noise Ratio, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Nuclear magnetic resonance, Optics, Electricity, Electric field, 0202 electrical engineering, electronic engineering, information engineering, Humans, Radiology, Nuclear Medicine and imaging, Spectroscopy, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS, business.industry, Specific absorption rate, 020206 networking & telecommunications, Magnetostatics, Magnetic Resonance Imaging, Pockels effect, Magnetic field, Magnetic Fields, Electromagnetic coil, Molecular Medicine, Feasibility Studies, business, Crystallization
Abstract: International audience; During magnetic resonance imaging (MRI) examinations, the average specific absorption rate (SAR) of the whole body is calculated as an index of global energy deposition in biological tissue without taking into account the presence of metallic implants or conductive materials. However, this global SAR calculation is not sufficient to ensure patient safety and a local SAR measurement should be carried out. Several measurement techniques have already been used to evaluate the local SAR, in particular electric field (E-field) probes, but the accuracy of the measurements and the resolutions (spatial and temporal) depend strongly on the measurement method/probe. This work presents an MR-compatible, subcentimeter probe based on an electro-optic (EO) principle enabling a real-time measurement of the local E-field during MRI scans. The experiments using these probes were performed on two different MR systems (preclinical and clinical) having different static magnetic field strengths and with different volume coil geometries. The E-field was measured with unloaded (in air) and loaded volume coils in order to assess the sensing characteristics of the optical probe. The results show an excellent linearity between the measured E-field and the radiofrequency (RF) magnetic field in both experimental conditions. Moreover, the distribution of the E-field throughout the volume coil was experimentally determined and was in good agreement with numerical simulations. Finally, we demonstrate through our measurements that the E-field depends strongly on the dielectric properties of the medium.
Published: 2018

16. Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging

Author: Alaverdyan, Z., Lartizien, C., 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Rayet, Béatrice
Subjects: FOS: Computer and information sciences, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMethodologies_PATTERNRECOGNITION, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer Vision and Pattern Recognition (cs.CV), education, Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, health care economics and organizations, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: Computer aided diagnosis (CAD) systems are designed to assist clinicians in various tasks, including highlighting abnormal regions in a medical image. A common approach consists in training a voxel-level binary classifier on a set of feature vectors extracted from normal and pathological areas in patients' scans. However, many pathologies (such as epilepsy) are characterized by lesions that may be located anywhere in the brain, have various shapes, sizes and texture. An adequate representation of such a heterogeneity requires a significant amount of annotated data which is a major issue in the medical domain. Therefore, we built on a previously proposed approach that considers epilepsy lesion detection task as a voxel-level outlier detection problem. It consists in building a oc-SVM classifier for each voxel in the brain volume using a small number of clinically-guided features El Azami et al., 2016. Our goal in this study is to make a step forward by replacing the handcrafted features with automatically learnt representations using neural networks. We propose a novel version of siamese networks trained on patches extracted from healthy patients' scans only. This network, composed of stacked autoencoders as subnetworks, is regularized by the reconstruction error of the patches. It is designed to learn representations that bring patches centered at the same voxel localization 'closer' with respect to the chosen metric (i.e. cosine). Finally, the middle layer representations of the subnetworks are fed to oc-SVM classifiers at voxel-level. The method is validated on 3 patients' MRI scans with confirmed epilepsy lesions and shows a promising performance., Comment: Accepted to Conf\'erence sur l'Apprentissage automatique (CAp) 2017
Published: 2018
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17. Evaluation of phase retrieval approaches in magnified X-ray phase nano computerized tomography applied to bone tissue

Author: Peter Cloetens, Cécile Olivier, Boliang Yu, Max Langer, Alexandra Pacureanu, Loriane Weber, Françoise Peyrin, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), European Synchrotron Radiation Facility (ESRF), 4 - Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), and European Synchrotron Radiation Facility ( ESRF )
Subjects: Materials science, Image quality, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Phase (waves), [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, Signal-To-Noise Ratio, 01 natural sciences, Bone and Bones, 030218 nuclear medicine & medical imaging, 010309 optics, 03 medical and health sciences, X ray optics, 0302 clinical medicine, Optics, Iterative refinement, Phase contrast, 0103 physical sciences, Humans, Femur, Image resolution, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Aged, Phase retrieval, Aged, 80 and over, Contrast transfer function, business.industry, Phantoms, Imaging, Phase-contrast imaging, Phase contrast imaging, Middle Aged, Atomic and Molecular Physics, and Optics, Radiographic Image Interpretation, Computer-Assisted, Attenuation coefficient, Female, Tomography, Diaphyses, business, Tomography, X-Ray Computed, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; X-ray phase contrast imaging offers higher sensitivity compared to conventional X-ray attenuation imaging and can be simply implemented by propagation when using a partially coherent synchrotron beam. We address the phase retrieval in in-line phase nano-CT using multiple propagation distances. We derive a method which extends Paganin's single distance method and compare it to the contrast transfer function (CTF) approach in the case of a homogeneous object. The methods are applied to phase nano-CT data acquired at the voxel size of 30 nm (ID16A, ESRF, Grenoble, France). Our results show a gain in image quality in terms of the signal-to-noise ratio and spatial resolution when using four distances instead of one. The extended Paganin's method followed by an iterative refinement step provides the best reconstructions while the homogeneous CTF method delivers quasi comparable results for our data, even without refinement step.
Published: 2018

18. Simultaneous positron emission tomography and ultrafast ultrasound for hybrid molecular, anatomical and functional imaging

Author: Mathieu Pernot, Anikitos Garofalakis, Thomas Viel, Judith Favier, Mailyn Perez-Liva, Bertrand Tavitian, Jacques Pouysségur, Mafalda Correia, Mickael Tanter, Damien Bouda, Johanna Chiche, Charlotte Lussey-Lepoutre, B. Berthon, Jean Provost, Joevin Sourdon, Institut Langevin - Ondes et Images (UMR7587) (IL), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Descartes - Faculté de Médecine (UPD5 Médecine), Université Paris Descartes - Paris 5 (UPD5), Université Pierre et Marie Curie - Paris 6 - UFR de Médecine Pierre et Marie Curie (UPMC), Université Pierre et Marie Curie - Paris 6 (UPMC), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Equipe 'Contrôle Métabolique des Morts Cellulaires' (INSERM U1065 - C3M), Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Département de Biologie Médicale [Centre Scientifique de Monaco], Centre scientifique de Monaco (CSM), Département de Radiologie Cardiovasculaire [AP-HP Hôpital Européen Georges Pompidou], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), ANR-11-INBS-0006,FLI,France Life Imaging(2011), ANR-10-IDEX-0001,PSL,Paris Sciences et Lettres(2010), Tavitian, Bertrand, Infrastructures - France Life Imaging - - FLI2011 - ANR-11-INBS-0006 - INBS - VALID, Initiative d'excellence - Paris Sciences et Lettres - - PSL2010 - ANR-10-IDEX-0001 - IDEX - VALID, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), Institut Langevin ondes et images, Centre National de la Recherche Scientifique ( CNRS ) -ESPCI ParisTech-Université Paris Diderot - Paris 7 ( UPD7 ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ), Paris-Centre de Recherche Cardiovasculaire ( PARCC - U970 ), Hôpital Européen Georges Pompidou [APHP] ( HEGP ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université Paris Descartes - Faculté de Médecine ( UPD5 Médecine ), Université Paris Descartes - Paris 5 ( UPD5 ), Université Pierre et Marie Curie - Paris 6 - UFR de Médecine Pierre et Marie Curie ( UPMC ), Université Pierre et Marie Curie - Paris 6 ( UPMC ), Département de Médecine Nucléaire [AP-HP Hôpital Pitié-Salpétrière], CHU Pitié-Salpêtrière [APHP], Equipe 'Contrôle Métabolique des Morts Cellulaires' ( INSERM U1065 - C3M ), Centre méditérannéen de médecine moléculaire ( C3M ), Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut de Recherche sur le Cancer et le Vieillissement ( IRCAN ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Européen Georges Pompidou [APHP] ( HEGP ), ANR-11-INBS-0006/11-INBS-0006,FLI,France In vivo Imaging ( 2011 ), and ANR-10-IDEX-0001-02/10-LABX-0024,WIFI,Institut Langevin : Ondes et Images, du Fondamental à l'Innovation ( 2010 )
Subjects: 0301 basic medicine, Materials science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Biomedical Engineering, Medicine (miscellaneous), Bioengineering, 030218 nuclear medicine & medical imaging, Mice, 03 medical and health sciences, 0302 clinical medicine, Cell Line, Tumor, Cricetinae, Neoplasms, Positron Emission Tomography Computed Tomography, medicine, Animals, Positron emission, Rats, Wistar, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Ultrasonography, medicine.diagnostic_test, business.industry, Myocardium, Ultrasound, Heart, Frame rate, Rats, Computer Science Applications, Functional imaging, Glucose, Phenotype, 030104 developmental biology, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Positron emission tomography, Female, Ultrasonic sensor, Tomography, Molecular imaging, business, Biotechnology, Biomedical engineering
Abstract: International audience; Positron emission tomography–computed tomography (PET–CT) is the most sensitive molecular imaging modality, but it does not easily allow for rapid temporal acquisition. Ultrafast ultrasound imaging (UUI)—a recently introduced technology based on ultrasonic holography—leverages frame rates of up to several thousand images per second to quantitatively map, at high resolution, haemodynamic, biomechanical, electrophysiological and structural parameters. Here, we describe a pre-clinical scanner that registers PET–CT and UUI volumes acquired simultaneously and offers multiple combinations for imaging. We demonstrate that PET–CT–UUI allows for simultaneous images of the vasculature and metabolism during tumour growth in mice and rats, as well as for synchronized multi-modal cardiac cine-loops. Combined anatomical, functional and molecular imaging with PET–CT–UUI represents a high-performance and clinically translatable technology for biomedical research.
Published: 2018

19. Breast MRI screening

Author: Oldrini, Guillaume, Centre de Recherche en Automatique de Nancy (CRAN), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Université de Lorraine, Frédéric Marchal, Centre de Recherche en Automatique de Nancy ( CRAN ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), and STAR, ABES
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, Positionnement, Protocole abrégé, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Abbreviated protocol, [SPI.AUTO] Engineering Sciences [physics]/Automatic, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Dépistage, [ SPI.AUTO ] Engineering Sciences [physics]/Automatic, Screening, Positionning, Breast MRI, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Cancer, IRM mammaire
Abstract: Breast MRI has a prominent place in breast imaging. Its wider use is limited in particular by its cost and the limited number of machines. We have worked on several aspects of this problem. In a first step, we changed the positioning from procubitus to decubitus. This showed that the decubitus allowed a better topographic correlation of the lesions with the ultrasound and was better tolerated by the patients. In a second step, we studied the factors of reduction of the acquisition time via the sequences with high temporal resolution and an abbreviated protocol. These changes should make it easier for patients to access MRI, reduce costs while maintaining the same sensitivity and specificity values as the standard protocol, L’IRM mammaire a une place prépondérante dans l’imagerie mammaire. Son utilisation plus large est limitée notamment par son coût et le nombre limité de machines. Nous avons travaillé sur plusieurs aspects de cette problématique. Dans un premier temps, nous avons modifié le positionnement en passant du procubitus au décubitus. Ceci a permis de montrer que le décubitus permettait une meilleure corrélation topographique des lésions avec l’échographie et était mieux toléré par les patientes. Dans un deuxième temps, nous avons étudié les facteurs de réduction du temps d’acquisition par l’intermédiaire des séquences à haute résolution temporelle et d’un protocole abrégé. Ces changements devraient permettre de faciliter l’accessibilité de l’IRM aux patientes, de réduire son coût tout en conservant les mêmes valeurs de sensibilité et spécificité que le protocole standard
Published: 2017

20. Spectroscopie de fluorescence et imagerie optique pour l'assistance à la résection de gliomes : conception et caractérisation de systèmes de mesure et modèles de traitement des données associées, sur fantômes et au bloc opératoire

Author: Alston, Laure, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Claude Bernard Lyon 1, David Rousseau, ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), ANR-11-IDEX-0007-02/11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation ( 2011 ), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Bruno Montcel, Mathieu Hébert, and STAR, ABES
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.CAN]Life Sciences [q-bio]/Cancer, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, traitement d’image, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, instrumental development, protoporphyrin IX, étude clinique, neurosurgery, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.IB] Life Sciences [q-bio]/Bioengineering, traitement du signal, RGB imaging, Glioma, fluorescence spectroscopy, clinical study, recalage d’image, optics, imagerie RVB, image registration, protoporphyrine IX, spectroscopie de fluorescence, neurochirurgie, [SDV.IB]Life Sciences [q-bio]/Bioengineering, développement instrumental, gliomes, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: Gliomas are infiltrative tumors of the brain which are yet hardly curable, notably because of the difficulty to precisely delimitate their margins during surgery. Intraoperative 5-ALA induced protoporphyrin IX (PpIX) fluorescence microscopy has shown its relevance to assist neurosurgeons but lacks sensitivity. In this thesis, we perform a spectroscopic clinical trial on 10 patients with the assumption that collected fluorescence is a linear combination of the contribution of two states of PpIX which proportions vary with the density of tumor cells. This work starts with the development of the intraoperative, portable and real time fluorescence spectroscopic device that provides multi-wavelength excitation. Then, we show its use on PpIX phantoms with tissues mimicking properties. This first enables to obtain a reference emitted spectrum for each state apart and then permits the development of a fitting model to adjust any emitted spectrum as a linear combination of the references in the spectral band 608-637 nm. Next, we present the steps led to get approvals for the clinical trial, especially the risk analysis. In vivo data analysis is then presented, showing that we detect fluorescence where current microscopes cannot, which could exhibit a change in PpIX state from glioma center to its margins. Besides, the relevance of multi-wavelength excitation is highlighted as the correlation between the three measured spectra of a same sample decreases with the density of tumor cells. Finally, the complementary need to intraoperatively identify cerebral functional areas is tackled with optical measurements as a perspective and other properties of PpIX on phantoms are also raised, Les gliomes sont des tumeurs cérébrales infiltrantes difficilement curables, notamment à cause de la difficulté à visualiser toutes les infiltrations au bloc opératoire. Dans cette thèse, nous réalisons une étude clinique de spectroscopie de fluorescence de la protoporphyrine IX (PpIX) dans les gliomes de 10 patients selon l’hypothèse que les spectres collectés proviennent de la contribution de 2 états de la PpIX dont les proportions varient suivant la densité en cellules tumorales. Après avoir présenté le développement du système interventionnel proposant une excitation multi-longueurs d’onde, nous présentons son utilisation sur fantômes de PpIX mimant les propriétés des gliomes. Ceci permet tout d’abord d’obtenir les spectres émis par les 2 états séparément puis de proposer un modèle d’ajustement des spectres comme une combinaison linéaire des 2 spectres de référence sur la bande spectrale 608-637 nm. Ensuite, nous présentons la mise en place de l’étude clinique, notamment l’analyse de risques, avant d’appliquer ce système in vivo. Les mesures in vivo détectent de la fluorescence dans des tissus où le microscope chirurgical n’en détecte pas, ce qui pourrait s’expliquer par un changement d’état de la PpIX entre le cœur des gliomes et leurs infiltrations. L’intérêt de l’excitation multi-longueurs d’onde est démontré par la décroissance de la corrélation des spectres acquis aux trois excitations suivant la densité en cellules tumorale. Enfin, nous soulevons des pistes d’étude de l’identification peropératoire des zones de fonctionnalité cérébrale à l’aide d’une caméra optique ainsi que l’étude du temps de vie de fluorescence et de la fluorescence deux photons de la PpIX sur fantômes
Published: 2017

21. In vivo MRS for the assessment of mouse colon using a dedicated endorectal coil: initial findings

Author: Olivier Beuf, Laurence Canaple, Hugo Dorez, Driffa Moussata, Sophie Gaillard, Hervé Saint-Jalmes, Hélène Ratiney, Raphaël Sablong, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de Génomique Fonctionnelle de Lyon (IGFL), École normale supérieure de Lyon (ENS de Lyon)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Plateforme d'Imagerie Multimodale LyonTech (PILoT), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), ANR-11-LABX-0063, LabEx PRIMES, ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Lyon (ENS Lyon)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Génomique Fonctionnelle de Lyon ( IGFL ), École normale supérieure - Lyon ( ENS Lyon ) -Institut National de la Recherche Agronomique ( INRA ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Plateforme d'Imagerie Multimodale LyonTech ( PILoT ), Centre Hospitalier Régional Universitaire de Tours, CHRU Tours, Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-École normale supérieure - Lyon (ENS Lyon), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)
Subjects: Pathology, medicine.medical_specialty, spectroscopy, Magnetic Resonance Spectroscopy, Colorectal cancer, Colon, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, IBD, Lumen (anatomy), Rectum, Inflammatory bowel disease, 030218 nuclear medicine & medical imaging, lipids, 03 medical and health sciences, Mice, 0302 clinical medicine, In vivo, choline, medicine, Animals, cancer, Radiology, Nuclear Medicine and imaging, Colitis, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Histology, medicine.disease, Magnetic Resonance Imaging, 3. Good health, endorectal coil, medicine.anatomical_structure, Molecular Medicine, 030211 gastroenterology & hepatology, business, MRI
Abstract: International audience; nflammatory bowel disease is a common group of inflammation conditions that can affect the colon and the rectum. These pathologies require a careful follow-up of patients to prevent the development of colorectal cancer. Currently, conventional endoscopy is used to depict alterations of the intestinal walls, and biopsies are performed on suspicious lesions for further analysis (histology). MRS enables the in vivo analysis of biochemical content of tissues (i.e. without removing any samples). Combined with dedicated endorectal coils (ERCs), MRS provides new ways of characterizing alterations of tissues.An MRS in vivo protocol was specifically set up on healthy mice and on mice chemically treated to induce colitis. Acquisitions were performed on a 4.7 T system using a linear volume birdcage coil for the transmission of the B1 magnetic field, and a dedicated ERC was used for signal reception. Colon-wall complex, lumen and visceral fat were assessed on healthy and treated mice with voxel sizes ranging from 0.125 μL to 2 μL while keeping acquisition times below 3 min.The acquired spectra show various biochemical contents such as α- and β-methylene but also glycerol backbone and diacyl. Choline was detected in tumoral regions. Visceral fat regions display a high lipid content with no water, whereas colon-wall complex exhibits both high lipid and high water contents.To the best of our knowledge, this is the first time that in vivo MRS using an ERC has been performed in the assessment of colon walls and surrounding structures. It provides keys for the in vivo characterization of small local suspicious lesions and offers complementary solutions to biopsies.
Published: 2017

22. Safety and effectiveness of the Low Profile Visualized Intraluminal Support (LVIS and LVIS Jr) devices in the endovascular treatment of intracranial aneurysms: results of the TRAIL multicenter observational study

Author: Carlos Riquelme, Christina Iosif, Jacques Sedat, Vincent Costalat, Charbel Mounayer, Mohamed Aggour, Trail Investigators, Alain Bonafe, Raphaël Blanc, Hervé Brunel, Laurent Pierot, Nader Sourour, Xavier Barreau, Paolo Machi, Michel Piotin, Yves Chau, Suzana Saleme, Service de Neuroradiologie interventionnelle [CHU Limoges], CHU Limoges, CHU de Bordeaux Pellegrin [Bordeaux], Hôpital Saint-Roch [Nice], Service de neuroradiologie diagnostique et fonctionnelle [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], CHU Saint-Etienne, Hôpital de la Timone [CHU - APHM] ( TIMONE ), Neuroradiologie [Hôpital Gui de Chauliac], Hôpital Gui de Chauliac, Hôpital Maison Blanche, Centre Hospitalier Universitaire de Reims ( CHU Reims ), Service de Neuroradiologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital de la Timone [CHU - APHM] (TIMONE), Hôpital Gui de Chauliac [Montpellier], Institut des Neurosciences de Montpellier - Déficits sensoriels et moteurs (INM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Université de Montpellier (UM), Centre Hospitalier Universitaire de Reims (CHU Reims), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: Adult, Male, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, medicine.medical_treatment, [SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery, Aneurysm, Ruptured, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Aneurysm, Occlusion, medicine, Humans, Prospective Studies, cardiovascular diseases, Endovascular treatment, [ SDV.MHEP.CHI ] Life Sciences [q-bio]/Human health and pathology/Surgery, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Aged, Coil embolization, business.industry, Mortality rate, Endovascular Procedures, Stent, Intracranial Aneurysm, General Medicine, Middle Aged, medicine.disease, Blood Vessel Prosthesis, Cerebral Angiography, 3. Good health, Surgery, New Devices, Treatment Outcome, Retreatment, aneurysm, Female, Stents, Observational study, stent, Neurology (clinical), business, Complication, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: Background and purposeTo evaluate the safety and effectiveness of the low-profile braided intracranial stents called the Low Profile Visualized Intraluminal Support (LVIS) devices for stent-assisted coil embolization of wide-necked intracranial aneurysms.Materials and methodsThis was a prospective, multicenter, observational study of unruptured and ruptured intracranial aneurysms treated with the LVIS devices. Imaging and clinical data were independently analyzed respectively by CoreLab and Clinical Event Committee. Primary endpoints were clinical safety, effectiveness, and angiographic stability of the results at 6 and 18 months.ResultsTen centers participated in the study; 102 patients were included and 90 patients (42.2% men, 57.8% women) were eventually analyzed, among which 27 (30.0%) had multiple aneurysms. Twenty-three (25.6%) were ruptured aneurysms, four of which (4.4%) were treated in the acute phase. One aneurysm was treated per patient; 92 LVIS and LVIS Jr devices were placed overall. The total aneurysm occlusion rate was 91.0% on immediate post-procedure angiograms, which remained unchanged at 6-month follow-up and was 92.4% at 18-month follow-up. One patient (1.1%) underwent retreatment between 6 and 18 months of follow-up. A modified Rankin score of 0 was documented for most cases immediately after the procedure (86.7%) and at 6-month (86.8%) and 18-month (83.3%) follow-up. The overall permanent morbidity rate at 18 months was 5.6% and the overall rate of events with sequelae related to the stent was 2.2%. The 18-month procedure-related mortality rate was 3.3%. No patient was deemed to require retreatment at 18-month follow-up.ConclusionThe LVIS/LVIS Jr endovascular devices are safe and effective in the treatment of ruptured and unruptured intracranial aneurysms, with acceptable complication rates, very high immediate total occlusion rates, and stable angiographic results.
Published: 2017

23. An optical‐based active detuning for single and dual channel/loop endoluminal surface coils

Author: Saniour, Isabelle, Perrier, Anne-Laure, Duvillaret, Lionel, Sablong, Raphaël, Gaborit, Gwenaël, Beuf, Olivier, 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation ( IMEP-LAHC ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -Institut National Polytechnique de Grenoble ( INPG ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Kapteos SAS, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation (IMEP-LAHC ), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Sub-centimeter endoluminal receiver coils dedicated to MRI are the best candidates for early depiction of colonic diseases. Nevertheless, the clinical use of these coils is controversial because the impossibility of using devices such as RF traps can cause strong local heating3. Besides, the sensitivity of a single-loop coil is orientation-dependent with respect to the magnetic field4. Our overall objective is to develop a fully-optical multichannel endoluminal coil ensuring patient safety, while achieving high signal-to-noise ratio (SNR) and better radial uniformity. Optical transmission of the NMR signal combining active optical detuning could be a secure alternative solution. Here we present an optical-based circuit for simultaneous detuning of two channels/loops endoluminal coil.
Published: 2017

24. Towards optical‐based real‐time evaluation of the local SAR: RF electrical field in biological sample

Author: Saniour , Isabelle, Gaborit , Gwenaël, Duvillaret , Lionel, Sablong , Raphaël, Perrier , Anne-Laure, Beuf , Olivier, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation (IMEP-LAHC ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Kapteos SAS, 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation ( IMEP-LAHC ), Centre National de la Recherche Scientifique ( CNRS ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Institut National Polytechnique de Grenoble ( INPG ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -Université Grenoble Alpes ( UGA ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, fungi, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; The specific absorption rate (SAR) above regulation levels is considered a significant risk in MRI scanners1. Indeed, the strength of the static magnetic field (B0) and the radiofrequency (RF) electromagnetic field can lead to local heating of tissues. To ensure patient safety, it is therefore important to estimate the local SAR in addition to the global SAR. Various methods are used to assess the local SAR: dipole probes that measure electrical field (E), or thermal sensors. This work presents an optical probe based on Pockels effect and developed to measure precisely the E-field. Previous works have demonstrated the ability of this probe to perform E-field measurements in an unloaded birdcage coil. Here, in vitro E-field measurements are presented at different B0-fields strengths and RF coil geometries.
Published: 2017

25. Full 3-D transverse oscillations: a method for tissue motion estimation

Author: Herve Liebgott, Damien Garcia, Sebastien Salles, Didier Vray, 3 - Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Research Unit of Biomechanics & Imaging in Cardiology (RUBIC), niversity of Montreal Hospital Research Centre (CRCHUM), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CR CHUM), Centre Hospitalier de l'Université de Montréal (CHUM), and Université de Montréal (UdeM)-Université de Montréal (UdeM)
Subjects: [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], Beamforming, Physics, Acoustics and Ultrasonics, Phantoms, Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], business.industry, Optical flow, Phase (waves), Imaging phantom, Displacement (vector), Window function, Motion, Imaging, Three-Dimensional, Amplitude, Optics, Motion estimation, Electrical and Electronic Engineering, business, Instrumentation, Algorithm, Algorithms, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Ultrasonography
Abstract: International audience; We present a new method to estimate 4-D (3-D + time) tissue motion. The method used combines 3-D phase based motion estimation with an unconventional beamforming strategy. The beamforming technique allows us to obtain full 3-D RF volumes with axial, lateral, and elevation modulations. Based on these images, we propose a method to estimate 3-D motion that uses phase images instead of amplitude images. First, volumes featuring 3-D oscillations are created using only a single apodization function, and the 3-D displacement between two consecutive volumes is estimated simultaneously by applying this 3-D estimation. The validity of the method is investigated by conducting simulations and phantom experiments. The results are compared with those obtained with two other conventional estimation methods: block matching and optical flow. The results show that the proposed method outperforms the conventional methods, especially in the transverse directions.
Published: 2015

26. Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease

Author: Joan Alexis Glaunès, Marie Chupin, Olivier Colliot, Claire Cury, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute ( ICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique ( CNRS ), Algorithms, models and methods for images and signals of the human brain ( ARAMIS ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute ( ICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique ( CNRS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique ( CNRS ) -Inria de Paris, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), Service de Neuroradiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Jacques-Louis Lions ( LJLL ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Service de neuroradiologie diagnostique et fonctionnelle [CHU Pitié-Salpêtrière], Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Jacques-Louis Lions (LJLL), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Inria de Paris, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Cury, Claire, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)
Subjects: Large deformation, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer science, Biomedical Engineering, Computational Mechanics, Alzheimer's Disease, Hippocampus, Diffeomorphism, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Centroid algorithm, Alzheimer's Disease Neuroimaging Initiative ADNI, Radiology, Nuclear Medicine and imaging, Statistical analysis, In patient, Memory test, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Shape Analysis, business.industry, Centroid, Pattern recognition, Control subjects, Computer Science Applications, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Artificial intelligence, business, LDDMM, 030217 neurology & neurosurgery, Shape analysis (digital geometry)
Abstract: International audience; This paper presents a new approach for template-based analysis of anatomical variability in populations,in the framework of Large Deformation Diffeomorphic Metric Mappings and mathematical currents. We propose a fast approach in which the template is computed using an diffeomorphic iterative centroid method. Statistical analysis is then performed on the initial momenta that define the deformations between the centroid and each individual subject. We applied the approach to study the variability of the hippocampus in 134 patients with Alzheimer’s disease (AD) and 160 elderly control subjects. We show that this approach can describe the main modes of variability of the two populations and can predict the performance to a memory test in AD patients.
Published: 2015

27. Extensive and severe CNS demyelination associated with golimumab therapy

Author: Elisabeth Maillart, C. Mellerio, Céline Louapre, Anne Bertrand, Catherine Lubetzki, Caroline Papeix, CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire Mémoire et Cognition, Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Inria de Paris, Service de Neuroradiologie [CHU Pitié-Salpêtrière], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Département de Neurologie [Paris], Assistance publique - Hôpitaux de Paris (AP-HP)-IFR70-Hôpital de la Salpétrière, CHU Pitié-Salpêtrière [APHP], Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Algorithms, models and methods for images and signals of the human brain ( ARAMIS ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute ( ICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique ( CNRS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique ( CNRS ) -Inria de Paris, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute ( ICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique ( CNRS ), Service de neuro-radiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) - IFR70 - Hôpital de la Salpétrière, Institut du Cerveau et de la Moëlle Epinière (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC) - Institut National de la Santé et de la Recherche Médicale (INSERM) - CHU Pitié-Salpêtrière [APHP] - Centre National de la Recherche Scientifique (CNRS), Service d'Explorations Fonctionnelles Neurologie [CHU Pitié-Salpétrière], CHU Pitié-Salpêtrière [APHP] - Assistance publique - Hôpitaux de Paris (AP-HP), Laboratoire Mémoire & Cognition, Université Paris Descartes - Paris 5 (UPD5) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC) - Institut du Cerveau et de la Moëlle Epinière (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC) - Institut National de la Santé et de la Recherche Médicale (INSERM) - CHU Pitié-Salpêtrière [APHP] - Centre National de la Recherche Scientifique (CNRS) - Université Pierre et Marie Curie - Paris 6 (UPMC) - Institut National de la Santé et de la Recherche Médicale (INSERM) - CHU Pitié-Salpêtrière [APHP] - Centre National de la Recherche Scientifique (CNRS) - Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria) - Institut National de Recherche en Informatique et en Automatique (Inria), and Assistance publique - Hôpitaux de Paris (AP-HP) - CHU Pitié-Salpêtrière [APHP]
Subjects: medicine.medical_specialty, Pathology, Neurology, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, CNS demyelination, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 03 medical and health sciences, 0302 clinical medicine, [ INFO.INFO-TI ] Computer Science [cs]/Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Golimumab therapy, Medicine, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS, Neuroradiology, 030203 arthritis & rheumatology, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, business.industry, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 3. Good health, [SDV.MHEP.OS] Life Sciences [q-bio]/Human health and pathology/Sensory Organs, [ SDV.NEU.NB ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Neurology (clinical), business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 030217 neurology & neurosurgery
Abstract: International audience; Our case emphasizes a very particular and uncommon course of tumefactive lesions of the central nervous system and their subsequent cavitation in the context of TNF-alpha antagonists. Such evolution must be recognized to initiate active disease-modifying treatments aiming to prevent further neurological relapses and subsequent disability for those patients with rheumatologic diseases.
Published: 2016

28. Atypical ocular manifestation of primary varicella zoster virus infection as the first manifestation of AIDS

Author: Claire Hussenet, Christine Katlama, Eric Caumes, Bahram Bodaghi, Phuc Le Hoang, Ruxandra Calin, Damien Galanaud, Ammr Alghamdi, David Boutolleau, Valérie Touitou, Matthias Papo, Romain Palich, Alexis Mathian, Valérie Pourcher-Martinez, Service d'Ophtalmologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer - U1172 Inserm - U837 (JPArc), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Lille Nord de France (COMUE)-Université de Lille, Service des maladies infectieuses et tropicales [CHU Pitié-Salpêtrière], Université Paris Descartes - Faculté de Médecine (UPD5 Médecine), Université Paris Descartes - Paris 5 (UPD5), UPMC - Faculté de médecine Pitié Salpétrière, Université Pierre et Marie Curie - Paris 6 (UPMC)-CHU Pitié-Salpêtrière [AP-HP], Service de virologie [CHU Pitié-Salpêtrière], Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Centre d'Immunologie et de Maladies Infectieuses (CIMI), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut E3M [CHU Pitié-Salpêtrière], Service de Neuroradiologie [CHU Pitié-Salpêtrière], Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service d'ophtalmologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Centre de recherche Jean-Pierre Aubert-Neurosciences et Cancer, Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, Université Paris Descartes - Faculté de Médecine ( UPD5 Médecine ), Université Paris Descartes - Paris 5 ( UPD5 ), Faculté de médecine Pitié Salpétrière, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -CHU Pitié-Salpêtrière [APHP], Service de virologie, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Centre d'Immunologie et de Maladies Infectieuses ( CIMI ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), CHU Pitié-Salpêtrière [APHP], Service de neuro-radiologie [CHU Pitié-Salpêtrière], Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute ( ICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique ( CNRS ), Algorithms, models and methods for images and signals of the human brain ( ARAMIS ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Inria de Paris, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute ( ICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique ( CNRS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique ( CNRS ), Service des maladies infectieuses [CHU Pitié-Salêtrière], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Inria de Paris, Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Lille Nord de France (COMUE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Service de Maladies Infectieuses et Tropicales [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, and Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer - U837 (JPArc)
Subjects: 0301 basic medicine, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Immunology, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, Varicella-zoster virus infection, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 03 medical and health sciences, 0302 clinical medicine, ANTIRETROVIRAL AGENTS, Acquired immunodeficiency syndrome (AIDS), [ INFO.INFO-TI ] Computer Science [cs]/Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Immunology and Allergy, Medicine, 030212 general & internal medicine, Aciclovir, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS, [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, business.industry, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], medicine.disease, Virology, 3. Good health, 030104 developmental biology, Infectious Diseases, [ SDV.NEU.NB ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Foscarnet Sodium, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, medicine.drug
Abstract: International audience
Published: 2016

29. Time samples selection in spiral acquisition for sparse magnetic resonance spectroscopic imaging

Author: Hélène Ratiney, Magalie Viallon, Rémy Prost, Jabrane Karkouri, Fabien Millioz, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Images et Modèles, Department of Radiology, University Hospital of Geneva, Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), and 2 - Images et Modèles
Subjects: Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, 02 engineering and technology, Iterative reconstruction, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, spiral spectroscopic imaging, computer.software_genre, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Magnetic resonance spectroscopic imaging, 0302 clinical medicine, Nuclear magnetic resonance, under-sampling, Sampling (signal processing), Voxel, 0202 electrical engineering, electronic engineering, information engineering, medicine, Image resolution, Spiral, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS, compressed sensing, medicine.diagnostic_test, business.industry, k-space, 020206 networking & telecommunications, Pattern recognition, Magnetic resonance imaging, Artificial intelligence, business, computer
Abstract: International audience; Magnetic resonance spectroscopic imaging (MRSI) has multiple interests in clinical practice, and especially for brain disease diagnosis. However, it faces quite long acquisition time in practice which limits their use in a clinical environment. Fast MRI acquisitions can help to reduce this acquisition time and intensify their clinical use. In this work, a new fast Magnetic Resonance Spectroscopic image acquisition method is introduced and evaluated based on a k-t space spiral sampling. The time-domain subsampling, below the Shannon-Nyquist rate, is allowed on the hypothesis of a sparse spectrum with an a priori known support. Then the nonzero components of the spectrum of each voxel are recovered using an over-determined least square problem. When data are noise-free the recovered spectrum is exact. In the real-world noisy scenario the error in the recovered spectrum highly depends on the acquired samples. We reduce this error to an acceptable level by selecting irregularly the samples using the Sequential Backward Selection algorithm. A realistic simulated irregular spiral acquisition proves the feasibility of the proposed approach.
Published: 2017

30. A 3D deformable model-based framework for the retrieval of near-isometric flattenable objects using Bag-of-Visual-Words

Author: Adrien Bartoli, Rindra Rantoson, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Institut Pascal (IP), SIGMA Clermont (SIGMA Clermont)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Institut Pascal - Clermont Auvergne ( IP ), and Sigma CLERMONT ( Sigma CLERMONT ) -Université Clermont Auvergne ( UCA ) -Centre National de la Recherche Scientifique ( CNRS )
Subjects: business.industry, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Stability (learning theory), 020207 software engineering, 02 engineering and technology, Maximization, Real image, Object (computer science), Synthetic data, Bag-of-words model in computer vision, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Computer Vision and Pattern Recognition, Artificial intelligence, Representation (mathematics), business, Fundamental matrix (computer vision), [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Software, ComputingMilieux_MISCELLANEOUS, Mathematics
Abstract: We introduce a 3D deformable model-based framework for the retrieval of near-isometric flattenable objects using keypoints and BoVW (Bag-of-Visual-Words). By 3D deformable model we mean a texturemapped 3D shape which may deform isometrically. We assume that such a model is available for each object in the database. We exploit the 3D deformable models at the training and the retrieval phases. For our first contribution, we exploit the possibility of generating synthetic data from the 3D deformable models to define a new BoVW model for the database object representation. Our model chooses an optimal per-object representation by maximizing each object’s mean average precision. The maximization is done over multiple candidate representations which are generated using the criteria of keypoint repeatability, weight discriminance and stability. Our second contribution is the use of SfT (Shape-from-Template) to facilitate geometric verification at the retrieval phase, for a few objects hypothesized using the new BoVW model. Existing methods use a rigid model, such as the fundamental matrix, or a simple deformable model based on semi-local constraints. SfT however is a physics-based method which uses an object’s 3D deformable model to reconstruct its isometric 3D deformation from a single input image. The output of SfT thus directly provides a geometric verification score. A byproduct of our work is to extend the scope of SfT. The proposed object retrieval framework is used to provide SfT with a few object hypotheses which may be quickly tested for the 3D deformable object selection. Performance evaluation on synthetic and real images reveals the benefits of our retrieval framework using a database with size varying between 20 and 1000 objects. The use of the new BoVW model and SfT versus the BoVW baseline and a rigid model improves the retrieval performance by 4.2% and 11.3% with p -values of 5 × 10 − 6 and 7 × 10 − 30 respectively.
Published: 2017

31. Simultaneous Pulse Wave and Flow Estimation at High-Framerate Using Plane Waves and Transverse Oscillations on a Carotid Phantom

Author: Perrot , Vincent, Petrusca , Lorena, Bernard , Adeline, Vray , Didier, Liebgott , Hervé, 3 - Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 5 - RMN et optique : De la mesure aux biomarqueurs, and Plateforme d'Imagerie Multimodale LyonTech ( PILoT )
Subjects: [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], Physics::Medical Physics, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Background, Motivation and ObjectivePulse wave velocity and blood flow velocity are two different physiological parameters which are generally assessed using two different ultrasound sequences and processing techniques. This can be explained by the difference in term of signal intensity between the tissue and blood (approx. 40 dB). On one side, blood velocity can be estimated using Doppler, speckle tracking or transverse oscillation techniques… On the other side the arterial wall motion can be obtained using block matching, differential methods or adapted transverse oscillations. In order to better evaluate and understand blood-wall interaction an imaging technique able to provide simultaneously both information from the same sequence would be highly relevant. Accordingly, our objective is to extract pulse wave velocity and flow all at once.Statement of Contribution/MethodsIn this study, we used a Verasonics ultrasound system with a linear array probe. A PVA carotid phantom filled with blood mimicking fluid was constructed to mimic the human carotid artery and blood flow. The variation of pressure was carefully driven with a fluid column and a solenoid valve. In order to produce a pulse wave, the valve was opened during 150 ms and closed during 850 ms. The phantom was imaged with a unique plane wave sequence without compounding (f0: 5 MHz, excitation: 1-cycle sinusoidal pulse, PRF: 5 kHz, 128 elements). The motion was estimated from the same dataset both in the blood and in the wall using transverse oscillations. These latter were obtained with our previously proposed filtering approach.Results/DiscussionFigure (a) shows the pulse wave arriving from the left part of the image. PWV was estimated at 3.1 m/s based on the acceleration of the wall computed along the upper wall over time. The longitudinal flow and the pulse wave propagate at different speed and are delayed in time as illustrated by panel (b). After processing, visualization is used to extract flowvariations and wall positions as a function of time ((c) and (d)). Both spatial and temporal results are coherent with our expectations and confirmed, for flow, with a medical scanner (Doppler mode, Ultrasonix MDP).As a conclusion our work demonstrated the ability of the transverse oscillations technique to simultaneously extract pulse wave velocity and flow profiles by using a unique plane waves sequence at high-framerate and the same estimation algorithm.
Published: 2017

32. High-Volume-Rate 3-D Ultrasound Imaging Based on Motion Compensation: A Feasibility Study

Author: Joos, Philippe, Liebgott, Hervé, Varray, François, Petrusca, Lorena, Garcia, Damien, Vray, Didier, Nicolas, Barbara, 3 - Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 5 - RMN et optique : De la mesure aux biomarqueurs, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), RMN et optique : De la mesure au biomarqueur, and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Subjects: [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Background, Motivation and ObjectiveEchocardiography is the most used modality for the evaluation of cardiac function. To obtain a time-resolved volumetric quantification of cardiac motion, ultrafast 3-D imaging is required. Ultrafast ultrasound imaging with diverging waves has demonstrated its potential for clinical 2-D echocardiography. It has been shown that MoCo (motion compensation)strategies based on a triangle transmit arrangement could produce high-contrast cardiac B-mode images at 500 fps [1]. With the purpose of developing high-volume-rate 3-D echocardiography, we introduced a transmit sequence enabling volumetric MoCo for spherical diverging wave imaging.Statement of Contribution/MethodsFour Verasonics scanners were combined to get 1024 channels connected to a 2-D 3-MHz phased array of 32x32 elements. A sequence of 49 spherical waves (PRF = 2250 Hz) whose steering angles followed a particular 2-D triangle arrangement was generated using the full aperture of the probe. Motion was compensated by using tissue color DopplerImaging to avoid destructive interferences issued from frame-to-frame tissue motion. High-frame-rate 3-D ultrasound imaging based on MoCo was evaluated in vitro with a rotating disk. The angle arrangements (cf. Fig.) were defined in the elevation (E) and azimuth (A) directions such that:- E and A angles increased then decreased linearly to sum the main lobes coherently and mitigate the side lobes- Small angle increments were used to preserve the frame-to-frame correlation to reduce Doppler variance- The E and A angles were allocated homogeneously to ensure high spatial resolutionResults/DiscussionA contrast loss due to tissue motion was observed when MoCo was not included in the coherent summation. When MoCo was integrated, the speckles were preserved in the whole field of view (cf. Fig). The estimated in vitro tissue Doppler velocities were consistent with the expected values (mean relative error = 4%). These preliminary results showed thatMoCo will be essential in high-volume-rate 3D echocardiography. Further works will help to determine if the temporal and spatial resolutions obtained with this 3-D MoCo method are adapted to 3-D speckle tracking echocardiography.[1] Porée et al. High-frame-rate echocardiography using coherent compounding with Doppler-based motion-compensation. IEEE TMI, 2016.
Published: 2017

33. The UltraSound ToolBox

Author: Alfonso Rodriguez-Molares, Ole Marius Hoel Rindal, Olivier Bernard, Herve Liebgott, Andreas Austeng, Lasse Lovstakken, Norwegian University of Science and Technology [Trondheim] ( NTNU ), University of Oslo ( UiO ), 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), 3 - Imagerie Ultrasonore, Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), University of Oslo (UiO), Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Imagerie Ultrasonore
Subjects: [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], 03 medical and health sciences, 0302 clinical medicine, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 030217 neurology & neurosurgery, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, 030218 nuclear medicine & medical imaging
Abstract: International audience; Background, Motivation and ObjectiveIn the last decade the number of beamforming methods has exploded. Many innovative ideas have been proposed, but we lack the tools to compare the different techniques efficiently. The PICMUS challenge (IUS 2016, Tours) was a pioneering step that made clear that two things are required to establish a fair comparison: a common data format, and a body of methods to process that data.Statement of Contribution/MethodsThree universities have come together to address this problem by developing both a dedicated file format and a beamforming toolbox. We present the Ultrasound File Format (UFF): a HDF5 data format, open to any programming language, for storage of channel and beamformed data; and the UltraSound ToolBox (USTB): a MATLAB toolbox made of both native MATLAB and C++ code, with GPU support. Together UFF and USTB provide a unified structure to share and process 2D and 3D ultrasound data. Channel data from any origin, e.g. Field II or Verasonics, and using any sequence, e.g. synthetic transmit aperture imaging (STAI) or coherent plane-wave compounding (CPWC), can be stored in UFF and beamformed with USTB. Both UFF and USTB revolve around the concept of the General Beamformer. The wavefronts in most ultrasound sequences can be fully defined using a single point source P: in focus imaging (FI) and retrospective transmit beamforming (RTB) P is placed at the focal point, in diverging wave imaging (DWI) P is at the origin of the diverging wave, in STAIP lies on the active element, in CPWC P is at infinite in a given direction. Based on that definition we developed a data structure (Fig.1) that makes it possible to beamform all sequences with a single algorithm, or even combine them. To illustrate this, 5 datasets have been simulated (FI, STAI, CPWC, DWI, and RTB) and reconstructed with USTB’s general beamformer. It is known that CPWC is equivalent to STAI under certain circumstances. Here we use USTB to show that the same result can be extrapolated to DWI and RTB. The equivalence is demonstrated in terms of side lobe level(SLL) and full width half maximum (FWHM).Results/DiscussionFig.2a-e show the point spread function (PSF) of the tested sequences. The 5 methods have a nearly identical PSF with a FWHM of 369.00 ± 9.42 μm (Fig.2f) and a SLL of -26.00 ± 0.89 dB of (Fig.2g). This validates the general beamformer and supports the equivalence of the methods. The aim of USTB is to facilitate the comparison between beamforming techniques and encourage the publication of datasets and algorithms. It is free, open source, and open to contributors. A fully functional toolbox will be released in June 2017, but an alpha version is available at http://www.ustb.no/.
Published: 2017

34. Accelerating Plane Wave Imaging through Deep Learning-Based Reconstruction: An Experimental Study

Author: Maxime Gasse, Fabien Millioz, Emmanuel Roux, Hervé Liebgott, Denis Friboulet, Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Department of Information Engineering [Firenze], Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Imagerie Ultrasonore, ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Università degli Studi di Firenze [Firenze], 3 - Imagerie Ultrasonore, and ANR-11-IDEX-0007-02/11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation ( 2011 )
Subjects: [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Background, Motivation and ObjectiveObtaining ultrafast images using steered plane wave (PW) imaging remains a challenge due to the trade-off between image quality and frame rate. PW imaging indeed relies on compounding in order to preserve a good image quality, usually using multiple successive emissions, which in turn yields a decrease of the frame rate. As opposed to this classicalapproach, we propose a new strategy to reduce the number of emitted PWs. This is done using a deep learning technique, i.e. by training a convolutional neural network (CNN) to reconstruct high quality images using a small number of PW emissions (typically two).Statement of Contribution/MethodsThe training data was generated as follows. A standard linear array probe (ATL L7-4 38 mm, 128 elements, bandwidth 4-7 MHz, transmitted frequency 5.208 MHz) was interfaced with a Verasonics system. 31 PWs were emitted (angle spanning ±15° in one degree steps). For each PW emission, the received raw-data was then processed using the f-k migration method [Garcia et al. IEEE UFFC13] to produce the reconstructed RF image. These 31 images were then averaged to get the final compounded image used as a reference in the training process, while only two images corresponding to angles -10° and +10° were given as input to the CNN.A total of 2000 reference images were acquired, 1000 images from in-vivo tissues (carotid and thyroid), 500 images from a Gammex phantom (410 SCG), and 500 images from a water-based polyamide mixture with air bubbles. 1800 images were used for training, 100 for validation, and 100 for testing. The CNN employed in this study is a fully-convolutionalneural network, with 4 hidden layers and maxout activation units. Training is done via stochastic gradient descent and the minimized loss function is the mean absolute error (MAE) between the CNN-reconstructed and the reference RF image, plus a L2 regularization term.Results/DiscussionOur approach was evaluated by comparing the CNN-based reconstruction of the test images with the conventional compounding method (see Fig. 1). Preliminary results indicate that CNN-based reconstruction is a very promising approach, as the reconstructed images are visually very close to those obtained by standard compounding with 31 PWs, while implying the emission of only 2 PWs.
Published: 2017

35. Fourier-based 3D Ultrafast Ultrasound Imaging with Diverging Waves: In Vitro Experiment Validation

Author: Miaomiao , Zhang, Varray , Francois, Petrusca , Lorena, Friboulet , Denis, Liebgott , Hervé, Bernard , Olivier, 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 3 - Imagerie Ultrasonore, 5 - RMN et optique : De la mesure aux biomarqueurs, Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie Ultrasonore, and RMN et optique : De la mesure au biomarqueur
Subjects: [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Background, Motivation and ObjectiveUltrafast imaging based on diverging wave (DW) is an active area of research in ultrasound sectorial acquisition because of its capacity of reaching high frame rate. Recently, we have introduced a 3D Fourier-based formalism for the reconstruction of 3D sectorial images with DW insonifications and validated with numerical simulations [Zhang et al. IUS 2016]. The proposed method can provide comparable image quality as DAS but with a much lower computational complexity. This study aims to experimentally verify these theoretical conclusions in vitro.Statement of Contribution/MethodsA 32-by-32 matrix array centered at 3 MHz with a 0.3 mm pitch (Vermon, Tours, France) interfaced with 4 Verasonics systems was used to transmit 3D DW sequences and acquire the reflected echoes. The experiment was performed on an ultrasound phantom (CIRS model: 054GS). Each DW was emitted from a virtual source point with an angular aperture of 90º and a sub-aperture of 16×16 elements as in [Provost et al. 2014]. The received rawdata was post-processed in Matlab using the proposed Fourier-based algorithm in [Zhang et al., IUS 2016].Results/DiscussionFigure1 displays the orthogonal slices along x-z direction of the volumetric images reconstructed from the proposed Fourier-based method using 1 and 81 DWs, respectively. This result shows, visually, the image quality (i.e. both lateral resolution and image contrast) can be improved with 81 DW for compounding, which is consistent with what have beenobserved from simulations [Zhang et al., IUS 2016].
Published: 2017

36. 3D Ultrasound Imaging of Tissue Anisotropy Using Spatial Coherence: Comparison between Plane Waves and Diverging Waves

Author: Lorena Petrusca, Francois Varray, Emeline Turquin, Herve Liebgott, Magalie Viallon, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), RMN et optique : De la mesure au biomarqueur, ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), 3 - Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 5 - RMN et optique : De la mesure aux biomarqueurs, 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), and ANR-11-IDEX-0007-02/11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation ( 2011 )
Subjects: Physics, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], medicine.diagnostic_test, business.industry, Orientation (computer vision), [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Ultrasound, Plane wave, Field of view, 01 natural sciences, Imaging phantom, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Optics, 0103 physical sciences, medicine, 3D ultrasound, business, 010301 acoustics, Cardiac imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Coherence (physics)
Abstract: International audience; Background, Motivation and ObjectiveAfter a myocardium infarction, cell loss is irremediable leading to a progressive local disorganization and change in the tissue structure altering heart function. An imaging method able to render the local tissue directivity would be a powerful tool to characterize the extent of the lesion. In this field, diffusion MRI is the reference. Because of its long acquisitiontime and the difficulty to tackle organ motion, faster imaging strategies such as ultrasound, are mandatory for such clinical applications. One of them is the spatial coherence of US waves, already developed in focused and plane waves (2D and 3D) but never in diverging waves [Papadacci, UFFC 2014]. The advantage of diverging waves is to create an imagewith a higher field of view, which is more appropriate to in vivo cardiac applications. The purpose of this work is to use 2D spatial coherence to determine the fibers orientation and to compare results in 3D steered plane and diverging waves.Statement of Contribution/MethodsSpatial coherence is representative of the tissue structure. In an anisotropic medium, spatial coherence is high in that preferred local direction and the 2D coherence function exhibits an ellipsoidal shape. The main axis of this ellipse corresponds to the local main direction of the underlying tissue structure. Acquisitions have been conducted on a phantom designed from seven angled wires (ø 0.3 mm) embedded in an agar gel. The dataset was obtained using a 1024 channels ultrasound system based on the synchronization of 4 Verasonics Vantage 256 systems. A 1024 elements of a 32x32 elements 3 MHz array (Vermon) was fully controlled to transmit 2D steered plane and diverging waves on the same location. 25 transmission angles from -5° to 5° in x and y direction were used. The 2D coherence function maps were calculated on the spatial points corresponding to the centre of the seven wires and the main axis of ellipsoidal shapes are extracted to render the wires angle.Results/DiscussionThe curves representing the wires angle obtained in both plane and diverging waves are close to the reference. Using diverging waves, a RMSE of 4.8° is obtained which is better than the RMSE of 11.2° obtained with plane wave transmissions. It demonstrates the interest of 3D diverging waves to increase both the field of view and the coherence calculation accuracy. Such results must now be confirmed on heart sample acquisitions.
Published: 2017

37. 3D Diverging Waves with 2D Sparse Arrays: A Feasibility Study

Author: Emmanuel , Roux, Varray , Francois, Petrusca , Lorena, Cachard , Christian, Tortoli , Piero, Liebgott , Hervé, Department of Information Engineering [Firenze], Università degli Studi di Firenze [Firenze], 3 - Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 5 - RMN et optique : De la mesure aux biomarqueurs, Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and RMN et optique : De la mesure au biomarqueur
Subjects: [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Background, Motivation and ObjectiveVery high frame rates can be reached both in 2D and 3D ultrasound imaging thanks to diverging waves (DWs) transmission. Up to now 3D ultrafast imaging has been performed controlling full 2D arrays with thousands of active elements which cannot be directly controlled by scanners with limited number of channels. The motivation here is to perform 3D ultrafast imaging with 128, 192 or 256 active elements. We recently addressed a similar issue in focused mode [Roux et al. IEEE UFFC17]: three optimal arrays (opti128, opti192 and opti256) were obtained by reducing the amount of energy out of the main lobe at multiple depths. In this work we experimentally investigate the feasibility of acquiring 3D volumes at high frame rate by transmitting DWs with the opti128, opti192 and opti256 sparse arrays under the hypothesis that these optimal arrays for focused imaging are also the most adequate sparse configurations to produce well resolved and artifactless virtual sources based on time reversal principle.Statement of Contribution/MethodsThe 1024 (32x32) elements of a 3 MHz array made by Vermon were individually driven by four synchronized Verasonics Vantage 256 systems. The systems were programmed to transmit 2.5-cycle sine bursts at 3 MHz. The evaluated image was made by compounding 25 images produced by 5x5 virtual sources located at 25 mm behind the array with span ±15° in both azimuth and elevation. Six arrays were compared: opti128, opti192, opti256, an array whose active elements where randomly selected (rand256) and two references (REF716 and REF1024). The circular dense array REF716 corresponds to the full 32x32 REF1024 array without the corner elements. The comparison criteria were the full width athalf maximum (FWHM) and the contrast to noise ratio (CNR).Results/DiscussionThe results are reported in Table 1. The performance of rand256 in resolution is very close to REF1024 and even better than REF716 whereas the optimized arrays (opti128, opti192 and opti256) yield a resolution about 30 % coarser. However opti256 yields +1dB CNR improvement compared to rand256. The REF716 array is very competitive with REF1024 (+0.3 mm, -0.9 dB) using only 70% of the active elements. As a conclusion, is has been shown that 3D ultrafast imaging can be performed using 2D sparse arrays but potential improvements may be achieved with dedicated optimization e.g. cost function to homogenize DW wavefront.
Published: 2017

38. Simultaneous Coded Plane Wave Imaging: Implementation on a Research Echograph

Author: Denis Bujoreanu, Adeline Bernard, Barbara Nicolas, Herve Liebgott, Denis Friboulet, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Plateforme d'Imagerie Multimodale LyonTech (PILoT), Images et Modèles, ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), 3 - Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Plateforme d'Imagerie Multimodale LyonTech ( PILoT ), 2 - Images et Modèles, and ANR-11-IDEX-0007-02/11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation ( 2011 )
Subjects: Wave propagation, Image quality, Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Acoustics, Plane wave, Context (language use), Iterative reconstruction, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 030204 cardiovascular system & hematology, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Optics, 0103 physical sciences, Singular value decomposition, 010301 acoustics, Image resolution, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], business.industry, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], Ultrasound, Inverse problem, Transducer, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Background, Motivation and ObjectiveIn our previous work, published in the ICASSP 2017 conference we proposed an imaging technique called Simultaneous Coded Emission (SCE) of plane waves. SCE borrows ideas from plane wave Coherent Compounding (CC) and channel estimation in telecommunication systems, and has the potential to yield similar to CC image quality at significant higher frame rates. Improving over our previous work, we address in this paper the feasibility of the SCE on a real acquisition system, and show an implementation of SCE on the Ultrasound Advanced Open Platform (Ula-OP).Statement of Contribution/MethodsSimply put, in the concept of SCE, several plane waves are emitted simultaneously each of them carrying a pseudo-orthogonal code. In our previous work we showed that the received signal at the i element of the transducer can be written as yi=Agi+vi where A is the coding matrix and gi are the signals that can be beamformed in order to obtain thecorresponding images. Since in in-vitro acquisition the level of observation noise vi is unknown, in this work we propose to solve the above inverse problem using an Linear Square Estimator (LSE) based on the Singular Value Decomposition (SVD) of the coding matrix A. The SVD based LSE allows decreasing the condition number of the inverse problem which implies a better stability of the solution to acquisition noise.Results/DiscussionExperiments have been performed on a cyst phantom with two plane waves (emission angles 4° and -7°) emitted either successively (CC) or simultaneously (SCE). Figure 1 shows the results obtained using CC (Fig. 1A) and SCE (Fig. 1B). For the SCE acquisition, the SVD based solver allows reconstructing the image of the cyst (Fig. 1B) however the finalimage has a lower quality (CNR=6.02dB) than the corresponding CC image (Fig. 1A, CNR=7.52dB). As shown in Fig. 1C the solver has an optimal point where the tradeoff between the computational error and noise stability is optimal for a certain level of noise (here SNR≈21dB). Since no regularization is used, the overall quality of the image decreases if onewants to increase the frame rate of our method, as shown in Fig. 1D. As a consequence, future work will focus on designing an appropriate regularization technique that will allow increasing the frame rate while preserving the CNR.
Published: 2017

39. Fourier-Based Ultrafast Ultrasound Imaging Based on In-phase Quadrature (IQ) Data

Author: Zhang , Miaomiao, Liebgott , Hervé, Varray , François, Friboulet , Denis, Bernard , Olivier, 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), 3 - Imagerie Ultrasonore, Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Imagerie Ultrasonore
Subjects: [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Background, Motivation and ObjectiveUltrafast imaging based on plane wave (PW) / diverging wave (DW) is an active area of research in ultrasound acquisitions because of its capacity of reaching high frame rate. Beamforming of received echoes in Fourier domain provides comparable image quality but lower computational complexity with respect to the conventional DAS approach [Zhang et al., UFFC, 2016]. However, the current state-of-the-art Fourier-based techniques only perform the reconstruction on radio frequency (RF) data. To process less data without loss of information, we adapted in this study the Fourier-based formalism of Lu [Lu et al., UFFC, 1997] to IQ data reconstruction for both PW and DW imaging.Statement of Contribution/MethodsThe original PW imaging method of Lu performs 2D FFT on the received RF signals and remaps the echoes spectrum to obtain the object spectrum, followed by a 2D IFFT to get the beamformed image. We demonstrated in this work that this method can be adapted for IQ data reconstruction by explicitly taking into account the demodulation frequency in thespectrum remapping relation. The proposed method can be easily extended to DW imaging from IQ data by using a space transformation introduced in one of our previous work [Zhang et al., UFFC, 2016]. However, the space transformation introduces time shifts that cause phase rotation and thus degrade compounding strategies. We thus integrated thosetime shifts into our formalism to compensate for the phase rotation during the reconstruction process.Results/DiscussionThe proposed approach is validated experimentally with an ultrasound phantom (CIRS model: 054GS) with PW / DW insonifications using a standard linear / phased array interfaced with a Verasonics system. The RF data was demodulated and downsampled 4 times to obtain the IQ data. Figure1 shows B-mode images reconstructed from RF data and IQ datausing 9 PW / 15 DW in transmission. This results show the feasibility of performing IQ data reconstruction in the Fourier domain. It allows reconstructing the same image quality as from RF data but with 4 times less data samples, thus the beamforming process could be increased 4 times faster.
Published: 2017

40. A New High Channels Density Ultrasound Platform for Advanced 4D Cardiac Imaging

Author: Herve Liebgott, Rémi Souchon, Francois Varray, Adeline Bernard, Magalie Viallon, W. Apoutou N'Djin, Jean-Yves Chapelon, Lorena Petrusca, 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 3 - Imagerie Ultrasonore, Applications des ultrasons à la thérapie, Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Plateforme d'Imagerie Multimodale LyonTech ( PILoT ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), ANR-11-IDEX-0007-02/11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation ( 2011 ), RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie Ultrasonore, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), Plateforme d'Imagerie Multimodale LyonTech (PILoT), and ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011)
Subjects: [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], Scanner, Computer simulation, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer science, business.industry, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], Electrical engineering, 01 natural sciences, Synchronization, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Transducer, Sparse array, 0103 physical sciences, Waveform, business, 010301 acoustics, Computer hardware, Cardiac imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Background, Motivation and ObjectiveA novel ultrasound (US) platform with high channels density that offers flexibility, precision and open access is a pre-requisite to open new frontiers in diagnostic and/or therapy by experimental implementation of new enabled advanced techniques: dual-mode US imaging/therapies in the heart, new approaches to study the myocardial tissue (structure/characterization), fast sparse array strategies, multi-line transmit (MLT), powerful motion correction strategies. To date few systems in the world permit to have a full control both in transmit and receive of all single elements simultaneously of arrays with more than 1000 transducers. This paper presents a powerful US platform for implementing 4D (real-time 3D) advanced US strategies.Statement of Contribution/MethodsAn US platform was developed including a 1024-element US prototype designed for 4D cardiac dual-mode US imaging/therapy (Vermon, 2D 32x32 planar phased-array transducer, fc = 3.4 MHz) and a high channels density (1024-channels) US scanner, made of 4 256-Vantage systems (Verasonics) synchronized together (Fig1e). These systems have per-channel arbitrary waveform transmit/receive generation capability with easy access to RF data. The physical addressing of each US element was properly chosen for allowing various array sparsity combinations while minimizing the number of Vantage driving systems needed. Numerical simulations of US imaging were performed and experimental data of identical configuration were acquired to compare full and sparse array strategies, testing 4D imaging sequences and reconstruction processes.Results/DiscussionReal-time 4D US imaging was successfully performed in full array mode by synchronizing in emission/reception up to 1024 elements independently. The modular US platform could be reconfigured depending on the number of available Vantage (1 to 4 systems) allowing to use dense halves/quarters of the array, or downsampled full array (Fig1b-d). The validationof image sequences involved plane, diverging and focused waves (SPW, SDW, MLT) and the technical feasibility of real-time 4D US for low therapy focused US and imaging was confirmed with this 1024-channels density US system, offering full research access for developing advanced US strategies.
Published: 2017

41. Uptake in the pancreatic uncinate process on the 111In-octreotide scintigraphy

Author: Ait Boudaoud, Amel, Verges, Bruno, Petit, Jean Michel, Tatulashvili, Sopio, Cochet, Alexandre, Humbert, Olivier, Hôpital Européen Georges Pompidou [APHP] ( HEGP ), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon ), Service de radiologie et d'Imagerie médicale diagnostique et thérapeutique (CHU de Dijon), Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM), and HESAM Université (HESAM)-HESAM Université (HESAM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, [ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine
Abstract: International audience; BACKGROUND: The aim of this study was to assess the relevance of physiological In-octreotide uptake in the head of pancreas and to establish its imaging features in comparison with pathological uptake in patients with neuroendocrine tumors (NET).PATIENTS AND METHODS: We retrospectively reviewed all patients that underwent In-octreotide single-photon emission tomography (SPECT) scintigraphy in our institution. Only patients with an isolated uptake in the head of the pancreas were included. In-octreotidescintigraphy consisted in planar whole-body and abdominal SPECT/computed tomography (CT) images acquired at 6 and 30 h' postinjection. Different imaging features of the pancreatic focalized uptake were assessed: its precise location on the pancreas head, shape, intensity [visually and quantitatively by calculating the pancreatic to hepatic uptake ratio (L/H ratio)] and intensity changes.RESULTS: Thirteen patients out of 230 were included. Among them, a pancreatic NET was confirmed in five patients. On In-octreotide SPECT/CT, two of these had uptake located in the uncinate process, and three had uptake focused in the right lateral borders or in the whole head. SPECT images demonstrated high uptake (L/H ratio >2) in four patients out of five. In the eight remaining patients, pancreatic NET was ruled out. For all of these physiological cases, SPECT/CT acquisitions revealed that the uptake was both located in the uncinate process and with an L/H ratio below 2.CONCLUSION: The simple criteria of localization and uptake quantification can help to discriminate between a possible physiological uptake in the uncinate process of the pancreatic head and a pathological uptake induced by a NET.
Published: 2017

42. Segmentation Integrating Watershed and Shape Priors Applied to Cardiac Delayed Enhancement MR Images

Author: Danuta Kruk, Tadeusz Sliwa, Alexandre Cochet, Arnaud Boucher, Alain Lalande, Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Service de RMN Spectroscopie, Médecine Nucléaire (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon ), Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), and Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)
Subjects: DE-MRI, Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Biomedical Engineering, Biophysics, Scale-space segmentation, 030204 cardiovascular system & hematology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Segmentation, Sørensen–Dice coefficient, Information, Magnetic-Resonance Images, Computer vision, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, Cardiac imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Orientation (computer vision), business.industry, Image segmentation, Gold standard (test), Computer aided diagnosis, Computer-aided diagnosis, Graph Cuts, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Artificial intelligence, business, Shape priors
Abstract: International audience; Background: In recent years, there has been a rapid rise in the use of shape priors applied to segmentation process of medical images. Previous approaches on left ventricle segmentation from Delayed-Enhancement Magnetic Resonance Imaging (DE-MRI) have focused on the extraction of myocardium or just diseased region in short axis orientation. However these studies did not take into account the segmentation of non-diseased myocardium from DE-MRI. The segmentation of non-diseased myocardium from DE-MRI, has some useful applications. For instance it can simplify the PET-MR registration process.Methods: This paper presents a novel semi-automatic segmentation method of non-diseased myocardium contours from DE-MRI based on watershed algorithm with shape priors application. The segmentation process was performed on long and short axis DE-MR images, acquired from patients with different cardiac diseases.Results: Segmented images were compared with gold standard contours performed by an experienced user. To assess our results the Dice Coefficient (DC) and Root Mean Square Distance (RMSD) were computed. The best value of these parameters was obtained for four cavity images (RMSD = 1.68 +/- 0.47 mm, DC = 0.78), and the computed value for two cavity images (RMSD = 1.93 +/- 0.38 mm, DC = 0.73) and short axis images (RMSD = 1.89 +/- 0.47 mm, DC = 0.71) were slightly lower.Conclusion: In conclusion, We have proposed a novel solution for non-diseased myocardium segmentation from DE-MRI, which brought very promising results. (C) 2017 AGBM. Published by Elsevier Masson SAS. All rights reserved.
Published: 2017

43. Combining imaging, biomechanical modeling and data analysis for myocardial infarct localization and characterization

Author: Rumindo, Gerardo, Duchateau, Nicolas, Croisille, Pierre, Ohayon, Jacques, Clarysse, Patrick, 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 5 - RMN et optique : De la mesure aux biomarqueurs, Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications [Grenoble] ( TIMC-IMAG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -IMAG-Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), RMN et optique : De la mesure au biomarqueur, Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Subjects: inverse biomechanical modeling, cardiac magnetic resonance imag- ing, myocardial strains, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, cardiac remodeling, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, integrative data analysis
Abstract: National audience; Accurate localization and characterization of anomalous regions is essential for a tailored treatment of patients with cardiac ischemia. Cardiac ultrasound or Magnetic Resonance Imaging produce useful anatomical and functional information to characterize myocardial tissues, with however some limits in spatial/temporal resolutions and image quality due to acquisition constraints. Associating imaging data to biophysical models and data analysis models will help to better understand the complex mechanisms in the course of the disease, better characterize the myocardial status, and better predict cardiac recovery after revascularization. To this aim, we developed an approach to personalize a Finite Element model of the healthy cardiac function to real MR imaging data, and we modified its local parameters to model various myocardial infarcts and therefore validate data analysis algorithms on large controlled populations. Two hundred synthetic pathological cases from 5 real healthy left ventricle geometries were generated with damaged myocardial regions of random location, shape and degree of severity. This population was used to evaluate the sensitivity of 9 myocardial strain parameters to reflect the location of the myocardial damage. We used a state-of-the-art machine learning algorithm to link deformation patterns and infarct location. Based on our evaluation, we are able derive a three-group classification of the strain-based parameters according to their performance in locating infarcts, and we show their coherence with physiological interpretations.
Published: 2017

44. Multicolor two-photon imaging of endogenous fluorophores in living tissues by wavelength mixing

Author: Ana-Maria Pena, Guy Malkinson, Isabelle Lamarre, Sébastien Brizion, Xavier Solinas, Pierre Mahou, Lamiae Abdeladim, Willy Supatto, Renaud Legouis, Chiara Stringari, Jean-Baptiste Galey, Emmanuel Beaurepaire, Laboratoire d'Optique et Biosciences ( LOB ), École polytechnique ( X ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), L'Oréal Recherche, L'OREAL, Institut de Biologie Intégrative de la Cellule ( I2BC ), Université Paris-Sud - Paris 11 ( UP11 ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), Roura, Denis, Laboratoire d'Optique et Biosciences (LOB), École polytechnique (X)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie Intégrative de la Cellule (I2BC), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Subjects: [PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics], 0301 basic medicine, Fluorescence-lifetime imaging microscopy, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Science, Biology, Nicotinamide adenine dinucleotide, 7. Clean energy, Article, Cofactor, Retinoids, 03 medical and health sciences, chemistry.chemical_compound, Two-photon excitation microscopy, Animals, Humans, Caenorhabditis elegans, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Skin, Flavin adenine dinucleotide, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics], Multidisciplinary, Fibroblasts, Fluorescence, Electron transport chain, Microscopy, Fluorescence, Multiphoton, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, 030104 developmental biology, chemistry, Biochemistry, Flavin-Adenine Dinucleotide, Biophysics, biology.protein, Medicine, NAD+ kinase, NADP
Abstract: International audience; Two-photon imaging of endogenous fluorescence can provide physiological and metabolic information from intact tissues. However, simultaneous imaging of multiple intrinsic fluorophores, such as nicotinamide adenine dinucleotide(phosphate) (NAD(P)H), flavin adenine dinucleotide (FAD) and retinoids in living systems is generally hampered by sequential multi-wavelength excitation resulting in motion artifacts. Here, we report on efficient and simultaneous multicolor two-photon excitation of endogenous fluorophores with absorption spectra spanning the 750–1040 nm range, using wavelength mixing. By using two synchronized pulse trains at 760 and 1041 nm, an additional equivalent two-photon excitation wavelength at 879 nm is generated, and achieves simultaneous excitation of blue, green and red intrinsic fluorophores. This method permits an efficient simultaneous imaging of the metabolic coenzymes NADH and FAD to be implemented with perfect image co-registration, overcoming the difficulties associated with differences in absorption spectra and disparity in concentration. We demonstrate ratiometric redox imaging free of motion artifacts and simultaneous two-photon fluorescence lifetime imaging (FLIM) of NADH and FAD in living tissues. The lifetime gradients of NADH and FAD associated with different cellular metabolic and differentiation states in reconstructed human skin and in the germline of live C. Elegans are thus simultaneously measured. Finally, we present multicolor imaging of endogenous fluorophores and second harmonic generation (SHG) signals during the early stages of Zebrafish embryo development, evidencing fluorescence spectral changes associated with development. Multiphoton microscopy is a powerful tool for label-free and non-invasive functional imaging in small organisms and tissues 1, 2. Pulsed near infrared excitation light allows in-depth imaging based on contrasts such as endog-enous fluorescence 2 , second harmonic generation (SHG) 3 and third harmonic generation (THG) 4. Endogenous fluorescence in living tissues arises from several intrinsic biomarkers that play important roles in physiological processes 2. The primary intracellular sources are NAD(P)H and FAD, the two major cofactors of redox reactions in the cell and central regulators of energy production and metabolism 5, 6. Their fluorescence reports on the metabolic activity of cells allowing tissue physiology and processes such as stem cell differentiation, cancer development and neurodegenerative diseases to being non-invasively monitored 7–12. The fluorescence lifetimes of NADH and FAD are different upon binding to the protein during the electron transport chain. FLIM provides sensitive measurements of the free and protein-bound NAD(P)H ratio and of the redox states (NADH/NAD +) of cells, and can be used to distinguish glycolytic and oxidative phosphorylation metabolic states 13–17. Monitoring lifetime of free and protein-bound FAD has also been exploited to quantify redox ratio FAD/FADH 2 , and used as a biomarker of precancerous epithelial cells 12. It is well established that retinoids play a crucial role in stem cell differentiation and embryo development 18, 19 and their concentration and gradients have been detected in vivo during zebrafish development 9, 20. Other intrinsic fluorophores such as porphyrin, collagen, elastin, keratin
Published: 2017

45. Mesure et cartographie du champ électrique radiofréquence d'une bobine RMN en utilisant une sonde électro-optique

Author: Saniour, Isabelle, Gaborit, Gwenaël, Duvillaret, Lionel, Perrier, Anne-Laure, Beuf, Olivier, 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation ( IMEP-LAHC ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -Institut National Polytechnique de Grenoble ( INPG ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Kapteos SAS, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation (IMEP-LAHC ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Rayet, Béatrice, Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: National audience; – Durant un examen d'imagerie par résonnance magnétique (IRM), le champ magnétique (B 1) radiofréquence (RF) d'émission est toujours accompagné d'un champ électrique (E). Ce dernier induit des courants de même fréquence que B 1 dans les conducteurs causant des échauffements locaux dangereux pour le patient. Pour la sécurité du patient, il est important de contrôler et maîtriser le taux d'absorption spécifique (TAS) local par une mesure du champ E ou de l'élévation de la température durant un examen IRM. Dans ce papier, nous présentons des mesures quantitatives du champ E dans une bobine à résonance magnétique nucléaire (RMN) en utilisant une sonde électro-optique (EO). Des simulations numériques de ce champ E ont été effectuées pour être comparées aux valeurs expérimentales. Les résultats expérimentaux confirment l'excellente linéarité entre le champ E détecté et le champ B 1 généré par la bobine RMN. Les cartographies démontrent que le champ E n'est pas uniforme le long de la bobine et que de fortes concentrations de champ sont localisées essentiellement à proximité des condensateurs. Finalement, les résultats expérimentaux sont bien en accord avec les simulations.
Published: 2017

46. Vascular blood flow reconstruction from tomographic projections with the adjoint method and receding optimal control strategy

Author: M. Sigovan, L. Boissel, B. Sixou, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), 4 - Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Rayet, Béatrice
Subjects: History, Mathematical optimization, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Blood flow, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, Optimal control, Computer Science Applications, Education, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Control theory, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Mathematics
Abstract: International audience; In this work, we study the measurement of blood velocity with contrast enhanced computed tomography. The inverse problem is formulated as an optimal control problem with the transport equation as constraint. The velocity field is reconstructed with a receding optimal control strategy and the adjoint method. The convergence of the method is fast.
Published: 2017

47. Plateforme didactique mutualisée de travaux pratiques en instrumentation et imagerie biomédicale

Author: David Rousseau, Bonet Axel, Bruno Montcel, Cédric Ray, Kevin Tse Ve Koon, Hélène Ratiney, Denis Grenier, Olivier Beuf, Adeline Bernard, François Varray, Philippe Joos, Hervé Liebgott, Odran Pivot, Nicolas Ducros, Jean Michel Létang, Simon Rit, Françoise Peyrin, 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 5 - RMN et optique : De la mesure aux biomarqueurs, Institut Lumière Matière [Villeurbanne] ( ILM ), Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon, Plateforme d'Imagerie Multimodale LyonTech ( PILoT ), 3 - Imagerie Ultrasonore, Laboratoire d'Electronique et des Technologies de l'Information ( CEA-LETI ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Grenoble Alpes [Saint Martin d'Hères], 4 - Imagerie Tomographique et Radiothérapie, European Synchrotron Radiation Facility ( ESRF ), ANR-11-IDEX-0007-02/11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation ( 2011 ), Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), RMN et optique : De la mesure au biomarqueur, Institut Lumière Matière [Villeurbanne] (ILM), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Plateforme d'Imagerie Multimodale LyonTech (PILoT), Imagerie Ultrasonore, Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Imagerie Tomographique et Radiothérapie, European Synchrotron Radiation Facility (ESRF), ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SHS.EDU]Humanities and Social Sciences/Education, [ SHS.EDU ] Humanities and Social Sciences/Education, ComputingMilieux_MISCELLANEOUS, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience
Published: 2017

48. Rear-end vision-based collision detection system for motorcyclists

Author: Muhammad Muzammel, Mohd Zuki Yusoff, Fabrice Meriaudeau, Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre for Intelligent Signal and Imaging Research (Universiti Teknologi Petronas) ( CISIR ), Ministry of Education Malaysia under Higher Institution Centre of Excellence (HICoE) Scheme of Universiti Teknologi PETRONAS, Malaysia, Ministry of Education Malaysia under Centre for Graduate Studies (CGS), Ministry of Education Malaysia under University Research Internal Fund of Universiti Teknologi PETRONAS, Malaysia URIF-015AA-B78, European Project : VIBOT, Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Centre for Intelligent Signal and Imaging Research [Petronas] (CISIR), Universiti Teknologi PETRONAS (UTP), European Project: VIBOT, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, and HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Risk, Computational complexity theory, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer science, motorcycle accidents, Corner detection, Binary number, Injury, 02 engineering and technology, Crash, Edge detection, Hough transform, law.invention, [SPI]Engineering Sciences [physics], law, 0502 economics and business, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, [ SPI ] Engineering Sciences [physics], Collision detection, Computer vision, Riders, Electrical and Electronic Engineering, Sobel edge detection, Features, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, 050210 logistics & transportation, Behavior, business.industry, Tracking, 05 social sciences, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Atomic and Molecular Physics, and Optics, Computer Science Applications, road detection, Vehicle Detection, collision detection system, Road, Accidents, Binary data, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, 020201 artificial intelligence & image processing, Artificial intelligence, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, business, Monocular vision
Abstract: International audience; In many countries, the motorcyclist fatality rate is much higher than that of other vehicle drivers. Among many other factors, motorcycle rear-end collisions are also contributing to these biker fatalities. To increase the safety of motorcyclists and minimize their road fatalities, this paper introduces a vision-based rear-end collision detection system. The binary road detection scheme contributes significantly to reduce the negative false detections and helps to achieve reliable results even though shadows and different lane markers are present on the road. The methodology is based on Harris corner detection and Hough transform. To validate this methodology, two types of dataset are used: (1) self-recorded datasets (obtained by placing a camera at the rear end of a motorcycle) and (2) online datasets (recorded by placing a camera at the front of a car). This method achieved 95.1% accuracy for the self-recorded dataset and gives reliable results for the rear-end vehicle detections under different road scenarios. This technique also performs better for the online car datasets. The proposed technique's high detection accuracy using a monocular vision camera coupled with its low computational complexity makes it a suitable candidate for a motorbike rear-end collision detection system. (C) 2017 SPIE and IS&T.
Published: 2017

49. fMRI study of graduated emotional charge for detection of covert activity using passive listening to narratives

Author: Sontheimer , Anna, Vassal , François, Jean , Betty, Feschet , Fabien, Lubrano , Vincent, Lemaire , Jean-Jacques, Image Guided Clinical Neurosciences and Connectomics (IGCNC), Université d'Auvergne (Clermont Ferrand 1) ( UdA ), Institut Pascal - Clermont Auvergne ( IP ), Sigma CLERMONT ( Sigma CLERMONT ) -Université Clermont Auvergne ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Service de Neurochirurgie [Clermont-Ferrand], CHU Clermont-Ferrand-Hôpital Gabriel Montpied, Service de Neurochirurgie [Saint Etienne], Centre Hospitalier Universitaire de Saint-Etienne ( CHU de Saint-Etienne ), Centre Hospitalier Universitaire de Clermont-Ferrand, Hôpital Purpan [Toulouse], Université d'Auvergne - Clermont-Ferrand I (UdA), Institut Pascal (IP), SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), CHU Clermont-Ferrand-CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), CHU Toulouse [Toulouse], Lemaire, Jean-Jacques, SIGMA Clermont (SIGMA Clermont)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Service de Neurochirurgie [CHU Clermont-Ferrand], CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand, Service de Neurochirurgie [CHU Saint-Etienne], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)-Université Jean Monnet - Saint-Étienne (UJM), Toulouse Neuro Imaging Center ( ToNIC ), Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Hôpital Purpan [Toulouse], and CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale ( INSERM )
Subjects: voice familiarity, [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, semantic memory, [SCCO.NEUR]Cognitive science/Neuroscience, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, speech, [SCCO.NEUR] Cognitive science/Neuroscience, autobiographical memory, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [ SDV.NEU.NB ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [ SCCO.NEUR ] Cognitive science/Neuroscience, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, disorders of consciousness
Abstract: International audience; —Detection of awareness in patients with consciousness disorders is a challenge that can be facilitated by functional neuroimaging. We elaborated a functional magnetic resonance imaging (fMRI) protocol to detect cov-ert activity in altered states of consciousness. We hypothesized that passive listening to narratives with graduated emotional charge triggers graduated cerebral activations. The fMRI protocol was designed in healthy subjects for further clinical applications. The emotional charge was graduated using voice familiarity and long-term declarative memory content: low emotional charge, unknown person telling general semantic memory; mean emotional charge, relative telling the same narratives; high emotional charge, same relative telling autobiographical memory. Autobiographical memory was subdivided into semantic autobiographical memory and episodic autobiographical memory. The protocol proved efficient at triggering graduated cere-bral activations: low emotional charge, superior temporal gyri and sulci; mean emotional charge, same as low emotional charge plus bilateral premotor cortices and left inferior frontal gyrus; high emotional charge, cingulate, temporal, frontal, prefrontal and angular areas, thalamus and cerebellum. Semantic autobiographical memory revealed larger activations than episodic autobiographical memory. Independent ROI analysis confirmed the prepon-derant contribution of narratives with autobiographical memory content in triggering cerebral activation, not only in autobiographical memory-sensitive areas, but also in voice-sensitive, language-sensitive and semantic memory-sensitive areas. Ó 2017 The Authors. Published by Elsevier Ltd on behalf of IBRO. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
Published: 2017

50. Optical-based probe for real time assessment of RF electrical field during MRI exam

Author: Saniour , Isabelle, Gaborit , Gwenaël, Duvillaret , Lionel, Perrier , Anne-Laure, Beuf , Olivier, 5 - RMN et optique : De la mesure aux biomarqueurs, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation ( IMEP-LAHC ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -Institut National Polytechnique de Grenoble ( INPG ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Kapteos SAS, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation (IMEP-LAHC ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; During MRI exam, Specific Absorption Rate (SAR) is essential to be controlled and can be evaluated by measuring either indirectly for instance the rise in temperature or directly the radiofrequency induced electrical E-field. In the current study, we proposed an optical probe based on the Pockels effect for subcentimeter resolution measurements of the E-field without altering the surrounding media. Measurements were performed at 4.7 T and 3.0 T. Results show that the probe has an excellent linear response and allow a real time estimate of the three components of the E-field produced during MRI examination.
Published: 2017

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