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Your search keyword '"Angelini, Elsa D."' showing total 16 results
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16 results on '"Angelini, Elsa D."'

1. Débruitage d'images biologiques à l'aide de l'acquisition comprimée

Author

Meiniel, William, Le Montagner, Yoann, Angelini, Elsa D., Olivo-Marin, J.-C., HAL, TelecomParis, Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), and Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Imagerie biologique, Compressed Sensing, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Débruitage
Abstract

National audience; Dans cet article, nous étudions les propriétés de l’Acquisiton Comprimée (Compressed Sensing - CS) pour le débruitage d’images biologiques. Nous combinons plusieurs reconstructions effectuées à faible taux d’échantillonnage pour générer des images fortement débruitées, en utilisant des contraintes de parcimonie basées sur la Variation Totale (TV). Les résultats satisfaisants obtenus sur une image synthétique dont la vérité terrain est connue nous permettent d’appliquer la méthode à des images biologiques réelles.

Published
2015

2. Adaptive quantification and longitudinal analysis of pulmonary emphysema with a hidden Markov measure field mode

Author

Hame, Yrjo Tapio, Angelini, Elsa D., Hoffman, Eric, Barr, Graham, Laine, A. F., Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), and HAL, TelecomParis

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Published
2014

3. An unbiased risk estimator for image denoising in the presence of mixed Poisson-Gaussian noise

Author

Le Montagner, Yoann, Angelini, Elsa D., Olivo-Marin, J.-C., Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), and HAL, TelecomParis

Subjects
[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

4. Automatic segmentation of ante-natal 3D ultrasound images

Author

Anquez, J., Angelini, Elsa D., Grangé, Gilles, Bloch, Isabelle, HAL, TelecomParis, Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), and Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS)

Subjects
Statistical intensity modeling, Segmentation, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], 3D ultrasound, Deformable model, Ante-natal imaging
Abstract

International audience; The development of 3D ultrasonic probes and 3D ultrasound imaging offersnew functionalities that call for specific image processingdevelopments. In this paper, we propose an original method for thesegmentationof the utero-fetal unit (UFU) from 3D ultrasound (3DUS) volumes, acquired during the first trimester of gestation.UFU segmentation is required for a number of tasks, such as precise organ delineation, 3D modeling, quantitative measurements and evaluation of the clinical impact of 3D imaging.The segmentation problem is formulated as the optimization of a partition of theimage into two classes of tissues: the amniotic fluid and the fetaltissues. A Bayesian formulation of the partition problem integrates statistical models of theintensity distributions in each tissue class as homogeneity constraints and regularity constraints on the contours.An energy functional is minimized using a level set implementation of a deformable model to identify the optimal partition. We propose to combine Rayleigh, Normal, Exponential and Gamma distribution models to compute the region homogeneity constraints.We tested the segmentation method on a database of 19 ante-natal 3DUS images. Promising results wereobtained, showing the flexibility of the level set formulation and the interest of learning the most appropriatestatistical models according to the idiosyncrasies of the data and the tissues. The segmentation method was shown to be robust to different types of initialization and to provide accurate results, with an average overlap measure of 0.89 when comparing with manual segmentations.

Published
2013

5. ROBUST QUANTIFICATION OF PULMONARY EMPHYSEMA WITH A HIDDEN MARKOV MEASURE FIELD MODEL

Author

Hame, Yrjo Tapio, Angelini, Elsa D., Hoffman, Eric, Barr, Graham, Laine, A. F., Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), and HAL, TelecomParis

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2013

6. EFFECTS OF SLICE THICKNESS AND HEAD ROTATION WHEN MEASURING GLIOMA SIZES ON MRI: IN SUPPORT OF VOLUME SEGMENTATION VERSUS TWO LARGEST DIAMETERS

Author

Schmitt, Pierre, Mandonnet, E., Perdreau, Adrien, Angelini, Elsa D., Hôpital Lariboisière, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Lariboisière-Université Paris Diderot - Paris 7 (UPD7), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7), and HAL, TelecomParis

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2013

7. Video reconstruction usung compressed sensing measurements and 3D Total Variation regularization for bio-imaging applications

Author

Le Montagner, Yoann, Angelini, Elsa D., Olivo-Marin, J.-C., Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), and HAL, TelecomParis

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

8. Brushlet segmetnation for automatic detection of lumen borders in IVUS images: a comparison study

Author

Katouzian, Amin, Angelini, Elsa D., Sturm, Bernhard, Laine, A. F., Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), and HAL, TelecomParis

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

9. Maximum-likelihood estimation of Young's modulus in transient elastography with unknown line-of-sight orientation

Author

Charbit, Maurice, Angelini, Elsa D., Audiere, Stéphane, HAL, TelecomParis, Signal, Statistique et Apprentissage (S2A), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), and Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

10. A state of the art review on segmentation algorithms in intravascular ultrasound (IVUS) images

Author

Katouzian, Amin, Angelini, Elsa D., Carlier, Stéphane, Suri, Jasjit, Navab, Nassir, Laine, A. F., HAL, TelecomParis, Laboratoire Traitement et Communication de l'Information (LTCI), and Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

11. Impact of temporal resolution on the LV myocardial strain assessment on real-time 3D ultrasound

Author

Lorsakul, Auranuch, Duan, Q., Russo, Cesare, Angelini, Elsa D., Homma, S., Laine, A. F., HAL, TelecomParis, Laboratoire Traitement et Communication de l'Information (LTCI), and Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

12. Segmentation-free and multiscale-free extraction of medial information using gradient vector flow. Application to vascular structures

Author

Pizaine, Guillaume, Prevost, Raphaël, Angelini, Elsa D., Bloch, Isabelle, Makram-Ebeid, Sherif, HAL, TelecomParis, Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), MedisysResearch Lab (Medisys), Philips Research, CEntre de REcherches en MAthématiques de la DEcision (CEREMADE), Centre National de la Recherche Scientifique (CNRS)-Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), and Alejandro Frangi, Andrés Santos

Subjects
Gradient vector flow, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], diffusion, medialness, shape analysis, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, skeleton, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; Gradient Vector Flow has become a popular method to recover medial information in medical imaging, in particular for vessels centerline extraction. This renewed interest has been motivated by its ability to proceed from gray-scale images, without prior segmentation. However, another interesting property lies in the diffusion process used to solve the corresponding variational problem. We propose a method to recover scale information in the context of vascular structures extraction, relying on analytical properties of the Gradient Vector Flow only, with no multiscale analysis. Through simple one-dimensional considerations, we demonstrate the ability of our approach to estimate the radii of the vessels with an error of 10% only in the presence of noise and less than 3% without noise. Our approach is evaluated on convolved bar-like templates and is illustrated on 2D X-ray angiographies. (c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. This paper is also available with the following DOI: http://dx.doi.org/DOI10.1109/ISBI.2012.6235533

Published
2012

13. Numerical evaluation of subsampling effects on image reconstruction in Compressed-Sensing microscopy

Author

Le Montagner, Yoann, Marim, M., Angelini, Elsa D., Olivo-Marin, J.-C., Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), and HAL, TelecomParis

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2011

14. PROCEDE DE QUANTIFICATION DE L’EVOLUTION DE PATHOLOGIES IMPLIQUANT DES CHANGEMENTS DE VOLUMES DE CORPS, NOTAMMENT DE TUMEURS

Author

Angelini, Elsa D., Delon, Julie, Mandonnet, E., HAL, TelecomParis, Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT), Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), Hôpital Lariboisière, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Lariboisière-Université Paris Diderot - Paris 7 (UPD7), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Centre National de la Recherche Scientifique (CNRS)-Télécom ParisTech, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal [APHP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7)

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging
Published
2010

15. Segmentation multimodale de tumeurs pulmonaires et de ganglions lymphatiques par une méthode variationnelle

Author

Wojak, J., Angelini, Elsa D., Bloch, Isabelle, Télécom Paristech, Admin, Laboratoire Traitement et Communication de l'Information (LTCI), and Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Abstract

Segmentation multimodale de tumeurs pulmonaires et de ganglions lymphatiques par une méthode variationnelle

Published
2010

16. A Compressed Sensing Approach for Biological Microscopy Image Denoising

Author

Marim, Marcio M., Angelini, Elsa D., Olivo-Marin, Jean-Christophe, Analyse d'Images Quantitative (AIQ), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Inria Rennes - Bretagne Atlantique, Rémi Gribonval, and Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Compressed Sensing (CS) provides a new framework for signal sampling, exploiting redundancy and sparsity in incoherent bases. For images with homogeneous objects and background, CS provides an optimal reconstruction framework from a set of random projections in the Fourier domain, while constraining bounded variations in the spatial domain. In this paper, we propose a CS-based method to simultaneously acquire and denoise data based on statistical properties of the CS optimality, signal modeling and characteristics of noise reconstruction. Our approach has several advantages over traditional denoising methods, since it can under-sample, recover and denoise images simultaneously. We demonstrate with simulated and practical experiments on fluorescence images that we obtain images with similar or increased SNR even with reduced exposure times. Such results open the gate to new mathematical imaging protocols, offering the opportunity to reduce exposure time along with photo-toxicity and photo-bleaching and assist biological applications relying on fluorescence microscopy.

Published
2009

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