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2. Quantitative longitudinal imaging of activated microglia as a marker of inflammation in the pilocarpine rat model of epilepsy using [11C]-(R)-PK11195 PET and MRI

Author

Yankam Njiwa, J, primary, Costes, N, additional, Bouillot, C, additional, Bouvard, S, additional, Fieux, S, additional, Becker, G, additional, Levigoureux, E, additional, Kocevar, G, additional, Stamile, C, additional, Langlois, JB, additional, Bolbos, R, additional, Bonnet, C, additional, Bezin, L, additional, Zimmer, L, additional, and Hammers, A, additional

Published
2016
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3. Supervised clustering for determining a reference region for [11C]PK11195 PET: Adaptation to rat PET studies

Author

Costes , N., Blanc , C., Bouillot , C., Yankam Njiwa , J., Bolbos , R., Bouvard , S., Chauveau , F., Le Bars , D., Turkheimer , F. E., Hammers , A., Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-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 Grenoble Alpes (UGA), 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), Translational and integrative group in epilepsy research, Lyon Neuroscience Research center, Institut de Chimie et Biochimie Moléculaires et Supramoléculaires (ICBMS), 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 Chimie du CNRS (INC)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS), Division of Experimental Medicine, Imperial College London, Fondation neurodis, Fondation Neurodis, Centre d'Exploration et de Recherche Médicales par Émission de Positons ( CERMEP ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon ( HCL ) -CHU Saint-Etienne-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 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 ), Institut de Chimie et Biochimie Moléculaires et Supramoléculaires ( ICBMS ), and Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique ( CNRS )

Subjects
[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Published
2013

4. The human hippocampus and amygdala: Probabilistic atlases in a stereotaxic space, and quantitative comparison of spatial normalization strategies

Author

Vial, C., Belgacem, M., Heckemann, R. A., Yankam Njiwa, J., Allom, R., Chen, C.H., Costes, N., Hammers, A., Division of Experimental Medicine, Imperial College London, Fondation neurodis, Fondation Neurodis, 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), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-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 Grenoble Alpes (UGA)

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Published
2013

5. Backtranslating MRI-PET joint analyses to rats: Supervised clustering for reference region extraction for [11C]PK11195 PET

Author

Costes, N., Blanc, C., Bouillot, C., Yankam Njiwa, J., Bolbos, R., Bouvard, S., Chauveau, F., Le Bars, D., Turkheimer, F. E., Hammers, A., Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-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 Grenoble Alpes (UGA), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), 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), Translational and integrative group in epilepsy research, Lyon Neuroscience Research center, Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Division of Experimental Medicine, Imperial College London, Clinical Sciences Centre, Medical Research Council, Centre for Neuroimaging Sciences, Institute of Psychiatry, King‘s College London, Fondation neurodis, and Fondation Neurodis

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2013

6. Les augmentations périventriculaires de fixation du [11C]flumazénil sont-elles prédictives de la persistance de crises après chirurgie de l'ELT avec sclérose de l'hippocampe?

Author

Yankam Njiwa, J., Bouvard, S., Catenoix, H., Mauguière, F., Ryvlin, P., Hammers, A., 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), Translational and integrative group in epilepsy research, Lyon Neuroscience Research center, Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-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 Grenoble Alpes (UGA), The Neurodis Fondation, Neurodis, Division of Experimental Medicine, Imperial College London, Fondation neurodis, and Fondation Neurodis

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Published
2012

7. Towards predicting individual outcome in patients after temporal lobe surgery for hippocampal sclerosis: White matter FDG and [11C]flumazenil binding

Author

Yankam Njiwa, J., Bouvard, S., Costes, N., Catenoix, H., Ryvlin, P., Hammers, A., Fondation neurodis, Fondation Neurodis, Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-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 Grenoble Alpes (UGA), Cerebrovascular Unit [Lyon], Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Translational and integrative group in epilepsy research, and Lyon Neuroscience Research center

Abstract

International audience; One third of patients with hippocampal sclerosis (HS) under- going epilepsy surgery fail to become seizure free (NSF); risk factors include bilateral pathology and frequent generalized seizures. At the group level, increased periventricular [11C]flumazenil binding (indicating heterotopic neuron concentration) was associated with NSF outcome. Here, we investigate in new larger cohorts whether preoperative white matter (WM) uptake of [11C]flumazenil or the more widely used FDG predicts NSF outcome in individuals.

Published
2012

8. Periventricular flumazenil binding for predicting postoperative outcome in individual patients with temporal lobe epilepsy and hippocampal sclerosis

Author

Yankam Njiwa, J., Costes, N., Bouvard, S., Redouté, J., Ryvlin, P., Hammers, A., 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), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-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 Grenoble Alpes (UGA), Translational and integrative group in epilepsy research, Lyon Neuroscience Research center, Division of Experimental Medicine, Imperial College London, Fondation neurodis, and Fondation Neurodis

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

9. Implémentation et développement d'un outil d'analyse d'IRM: aide à la detection de lesions épilpetogènes dysplasiques

Author

Ghrenassia, S., Hammers, A., Ryvlin, P., Yankam Njiwa, J., Heckemann, R. A., Costes, N., Division of Experimental Medicine, Imperial College London, Fondation neurodis, Fondation Neurodis, Translational and integrative group in epilepsy research, Lyon Neuroscience Research center, 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), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-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 Grenoble Alpes (UGA)

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2012

10. L'hippocampe et l'amygdale humains : Création de cartes probabilistes dans l'espace MNI, et comparaison quantitative de stratégies de normalisation spatiale

Author

Vial, C., Belgacem, M., Heckemann, R. A., Yankam Njiwa, J., Allom, R., Chen, C.H., Costes, N., Hammers, A., Division of Experimental Medicine, Imperial College London, Fondation neurodis, Fondation Neurodis, 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), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-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 Grenoble Alpes (UGA)

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2012

12. Spatio-temporal summarizing method of periodic image sequences with Kohonen Maps

Author

Berkane , M., Clarysse , P., Yankam Njiwa , J., Zhu , Y. M., Magnin , I. E., 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 ), 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), 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
[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [ INFO.INFO-TI ] Computer Science [cs]/Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Abstract

article

Published
2009

13. Reconstruction of cardiac Cine MR Images using analytic image and neural networks

Author

Yankam-Njiwa, J, Berkane, M, Luo, J H, Clarysse, P, Magnin, I E, Zhu, Y M, 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), Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_st2i, imagerie_dynamique, METISLAB, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2009

14. Magnetic resonance image reconstruction analytic image representation

Author

Yankam-Njiwa, J., Zhu, Y. M., Robini, M., Magnin, I. E., 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), and Laboratoire Creatis, Compte Général

Subjects
[SDV.IB] Life Sciences [q-bio]/Bioengineering, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph], [PHYS.PHYS.PHYS-MED-PH] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph], [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [PHYS.PHYS.PHYS-MED-PH]Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.IB]Life Sciences [q-bio]/Bioengineering, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [PHYS.MECA.ACOU] Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

article

Published
2007

15. Image reconstruction from partial k-space using the notion of analytic image

Author

Yankam-Njiwa, J., Yuemin Zhu, Robini, M., Luo, J. H., Magnin, I. E., 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-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Zhu, Yuemin

Subjects
[INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Imagerie tomographique et thérapie par rayonnement, categ_st2i, imagerie_dynamique, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2006

16. Image reconstruction from partial k-space using the notion of analytic image

Author

Yankam-Njiwa, J, Zhu, Y M, Liou, J, Magnin, I E, 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), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Zhu, Yuemin, and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_st2i, imagerie_dynamique, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2006

17. Magnetic resonance image reconstruction using the notion of analytic image

Author

Yankam-Njiwa, J, Zhu, Y M, Robini, M, Magnin, I E, 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-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Zhu, Yuemin

Subjects
[INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Imagerie tomographique et thérapie par rayonnement, categ_st2i, imagerie_dynamique, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2006

18. Analytic image concept combined to SENSE reconstruction

Author

Yankam Njiwa, J, Baltes, C, Rudin, M, Yankam Njiwa, J, Baltes, C, and Rudin, M

Abstract

Two approaches of reconstructing undersampled partial k-space data, acquired with multiple coils are compared: homodyne detection combined with SENSE (HM_SENSE) and analytic image reconstruction combined with SENSE (AI_SENSE). The latter overcomes limitations of HM_ SENSE by considering aliased images as analytic thus avoiding the need for phase correction required for HM_SENSE. MATERIALS AND METHODS: In vivo imaging experiments were carried out in male Lewis rats using both gradient echo and spin echo sequences. Accelerated images obtained by using the various reconstruction algorithms were compared to fully sampled reference images both qualitatively and quantitatively. RESULTS: For the various sampling patterns evaluated, both HM_SENSE and AI_SENSE were found to yield robust image reconstruction with small deviations from the reference image. Even for high acceleration factors AI_SENSE still provided useful results and was found superior compared to HM_SENSE. CONCLUSION: Combination of partial k-space sampling and parallel image acquisition allows for further acceleration of data acquisition as compared to each method alone. Image reconstruction from undersampled data sets using the AI_SENSE algorithm was found to considerably reduce reconstruction errors and artifacts observed for HM_SENSE reconstruction caused by errors in phase estimation.

Published
2011

19. Increasing temporal resolution of DSC perfusion MRI using the analytic image concept

Author

Yankam Njiwa, J, Ratering, D, Baltes, C, Rudin, M, Yankam Njiwa, J, Ratering, D, Baltes, C, and Rudin, M

Abstract

OBJECT: Dynamic susceptibility contrast MRI (DSC-MRI) is increasingly being used to evaluate cerebral microcirculation. In this study, the use of the analytic image reconstruction (AIR), with the aim to increase the temporal resolution, is evaluated for DSC-MRI in small animals. MATERIALS AND METHODS: Imaging was performed using a T (2)*- weighted sequence to acquire male Lewis rats raw data. Results show that AIR satisfactory reconstructs DSC-MRI while preserving a good reconstruction quality and the image characteristics compared to the full k-space and keyhole reconstructed images. The combination of the choice of the baseline image and the proposed asymmetric acquisition schema enables an increase in temporal resolution, by a factor of four, thus having more sample points for better estimating perfusion parameters. RESULTS: Computer simulations result in a mean cerebral blood volume of 1.22 that deviates from the full k-space value by -3% and a mean cerebral blood flow of 1.97 deviating from the full k-space value by -3% when the mean transit time did not change. Even if these deviations increase when achieving real acquisitions, AIR still better computes quantitative values than keyhole. CONCLUSION: AIR allows a good reconstruction of the dynamic stage of the image series thus leading to better dynamic effects analysis.

Published
2010

20. Increasing temporal resolution of DSC perfusion MRI using the analytic image concept

Author

Njiwa, Josiane Yankam, Ratering, David, Baltes, Christof, Rudin, Markus, University of Zurich, and Yankam Njiwa, J

Subjects
Dynamic susceptibility MRI, Partial k-space reconstruction, 10050 Institute of Pharmacology and Toxicology, Acquisition time, Analytic image, MRI, 610 Medicine & health, 170 Ethics, 570 Life sciences, biology, 2741 Radiology, Nuclear Medicine and Imaging, 10237 Institute of Biomedical Engineering, 3614 Radiological and Ultrasound Technology, 1304 Biophysics
Abstract

Magnetic Resonance Materials in Physics, Biology, and Medicine, 23 (4), ISSN:0968-5243, ISSN:1352-8661

Published
2018

21. Quantitative longitudinal imaging of activated microglia as a marker of inflammation in the pilocarpine rat model of epilepsy using [ 11 C]-( R)-PK11195 PET and MRI.

Author

Yankam Njiwa J, Costes N, Bouillot C, Bouvard S, Fieux S, Becker G, Levigoureux E, Kocevar G, Stamile C, Langlois JB, Bolbos R, Bonnet C, Bezin L, Zimmer L, and Hammers A

Subjects
Animals, Brain immunology, Brain metabolism, Carbon Radioisotopes, Disease Models, Animal, Epilepsy diagnostic imaging, Epilepsy metabolism, Isoquinolines, Longitudinal Studies, Male, Microglia metabolism, Pilocarpine, Protein Binding, Rats, Sprague-Dawley, Brain diagnostic imaging, Carrier Proteins metabolism, Epilepsy immunology, Magnetic Resonance Imaging methods, Microglia immunology, Positron-Emission Tomography methods, Receptors, GABA-A metabolism
Abstract

Inflammation may play a role in the development of epilepsy after brain insults. [ 11 C]-( R)-PK11195 binds to TSPO, expressed by activated microglia. We quantified [ 11 C]-( R)-PK11195 binding during epileptogenesis after pilocarpine-induced status epilepticus (SE), a model of temporal lobe epilepsy. Nine male rats were studied thrice (D0-1, D0 + 6, D0 + 35, D0 = SE induction). In the same session, 7T T2-weighted images and DTI for mean diffusivity (MD) and fractional anisotropy (FA) maps were acquired, followed by dynamic PET/CT. On D0 + 35, femoral arterial blood was sampled for rat-specific metabolite-corrected arterial plasma input functions (AIFs). In multiple MR-derived ROIs, we assessed four kinetic models (two with AIFs; two using a reference region), standard uptake values (SUVs), and a model with a mean AIF. All models showed large (up to two-fold) and significant TSPO binding increases in regions expected to be affected, and comparatively little change in the brainstem, at D0 + 6. Some individuals showed increases at D0 + 35. AIF models yielded more consistent increases at D0 + 6. FA values were decreased at D0 + 6 and had recovered by D0 + 35. MD was increased at D0 + 6 and more so at D0 + 35. [ 11 C]-( R)-PK11195 PET binding and MR biomarker changes could be detected with only nine rats, highlighting the potential of longitudinal imaging studies.

Published
2017
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22. Advanced [(18)F]FDG and [(11)C]flumazenil PET analysis for individual outcome prediction after temporal lobe epilepsy surgery for hippocampal sclerosis.

Author

Yankam Njiwa J, Gray KR, Costes N, Mauguiere F, Ryvlin P, and Hammers A

Subjects
Adult, Carbon Radioisotopes, Female, Flumazenil, Fluorodeoxyglucose F18, Hippocampus diagnostic imaging, Hippocampus pathology, Hippocampus surgery, Humans, Image Interpretation, Computer-Assisted, Male, Middle Aged, Neurosurgical Procedures, Sclerosis pathology, Treatment Outcome, Young Adult, Epilepsy, Temporal Lobe diagnostic imaging, Epilepsy, Temporal Lobe surgery, Positron-Emission Tomography methods, Radiopharmaceuticals
Abstract

Purpose: We have previously shown that an imaging marker, increased periventricular [(11)C]flumazenil ([(11)C]FMZ) binding, is associated with failure to become seizure free (SF) after surgery for temporal lobe epilepsy (TLE) with hippocampal sclerosis (HS). Here, we investigated whether increased preoperative periventricular white matter (WM) signal can be detected on clinical [(18)F]FDG-PET images. We then explored the potential of periventricular FDG WM increases, as well as whole-brain [(11)C]FMZ and [(18)F]FDG images analysed with random forest classifiers, for predicting surgery outcome., Methods: Sixteen patients with MRI-defined HS had preoperative [(18)F]FDG and [(11)C]FMZ-PET. Fifty controls had [(18)F]FDG-PET (30), [(11)C]FMZ-PET (41), or both (21). Periventricular WM signal was analysed using Statistical Parametric Mapping (SPM8), and whole-brain image classification was performed using random forests implemented in R (http://www.r-project.org). Surgery outcome was predicted at the group and individual levels., Results: At the group level, non-seizure free (NSF) versus SF patients had periventricular increases with both tracers. Against controls, NSF patients showed more prominent periventricular [(11)C]FMZ and [(18)F]FDG signal increases than SF patients. All differences were more marked for [(11)C]FMZ. For individuals, periventricular WM signal increases were seen at optimized thresholds in 5/8 NSF patients for both tracers. For SF patients, 1/8 showed periventricular signal increases for [(11)C]FMZ, and 4/8 for [(18)F]FDG. Hence, [(18)F]FDG had relatively poor sensitivity and specificity. Random forest classification accurately identified 7/8 SF and 7/8 NSF patients using [(11)C]FMZ images, but only 4/8 SF and 6/8 NSF patients with [(18)F]FDG., Conclusion: This study extends the association between periventricular WM increases and NSF outcome to clinical [(18)F]FDG-PET, but only at the group level. Whole-brain random forest classification increases [(11)C]FMZ-PET's performance for predicting surgery outcome.

Published
2014
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23. Periventricular [(11)C]flumazenil binding for predicting postoperative outcome in individual patients with temporal lobe epilepsy and hippocampal sclerosis.

Author

Yankam Njiwa J, Bouvard S, Catenoix H, Mauguiere F, Ryvlin P, and Hammers A

Abstract

A third of patients with intractable temporal lobe epilepsy and hippocampal sclerosis (HS) are not seizure free (NSF) after surgery. Increased periventricular [(11)C]flumazenil (FMZ) binding, reflecting heterotopic neuron concentration, has been described as one predictor of NSF outcome at the group level. We aimed to replicate this finding in an independent larger cohort and investigated whether NSF outcome can be predicted in individuals. Preoperative [(11)C]FMZ summed radioactivity images were available for 16 patients with HS and 41 controls. Images were analyzed using SPM8, explicitly including the white matter, and correction for global radioactivity via group-specific ANCOVA. Periventricular increases were assessed with a mask and different cutoffs for distinguishing NSF and seizure free (SF) patients. NSF patients had increased [(11)C]FMZ binding around the posterior horn of the ventricles ipsilaterally (z = 2.53) and contralaterally (z = 4.44) to the seizure focus compared with SF patients. Compared with controls, SF patients had fewer periventricular increases (two clusters, total volume 0.87 cm(3), zmax = 3.8) than NSF patients (two ipsilateral and three contralateral clusters, 6.15 cm(3), zmax = 4.8). In individuals and at optimized cutoffs, five (63%) of eight NSF patients and one (13%) of eight SF patients showed periventricular increases compared with controls (accuracy 75%). Only one (2%) of the 41 controls had increases at the same cutoff. The association between periventricular [(11)C]FMZ increases and NSF outcome after temporal lobe resection for HS has been confirmed in an independent cohort on simple summed activity images. [(11)C]FMZ-PET may be useful for individual preoperative counseling with clinically relevant accuracy.

Published
2013
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24. Analytic image concept combined to SENSE reconstruction.

Author

Yankam Njiwa J, Baltes C, and Rudin M

Subjects
Animals, Echo-Planar Imaging methods, Image Enhancement, Image Interpretation, Computer-Assisted methods, Male, Rats, Sensitivity and Specificity, Software, Algorithms, Brain anatomy & histology, Brain Mapping methods, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods, Neuroimaging methods
Abstract

Object: Two approaches of reconstructing undersampled partial k-space data, acquired with multiple coils are compared: homodyne detection combined with SENSE (HM_SENSE) and analytic image reconstruction combined with SENSE (AI_SENSE). The latter overcomes limitations of HM_ SENSE by considering aliased images as analytic thus avoiding the need for phase correction required for HM_SENSE., Materials and Methods: In vivo imaging experiments were carried out in male Lewis rats using both gradient echo and spin echo sequences. Accelerated images obtained by using the various reconstruction algorithms were compared to fully sampled reference images both qualitatively and quantitatively., Results: For the various sampling patterns evaluated, both HM_SENSE and AI_SENSE were found to yield robust image reconstruction with small deviations from the reference image. Even for high acceleration factors AI_SENSE still provided useful results and was found superior compared to HM_SENSE., Conclusion: Combination of partial k-space sampling and parallel image acquisition allows for further acceleration of data acquisition as compared to each method alone. Image reconstruction from undersampled data sets using the AI_SENSE algorithm was found to considerably reduce reconstruction errors and artifacts observed for HM_SENSE reconstruction caused by errors in phase estimation.

Published
2011
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25. Increasing temporal resolution of DSC perfusion MRI using the analytic image concept.

Author

Yankam Njiwa J, Ratering D, Baltes C, and Rudin M

Subjects
Animals, Brain blood supply, Brain physiology, Computer Simulation, Contrast Media, Male, Rats, Rats, Inbred Lew, Reproducibility of Results, Sensitivity and Specificity, Brain pathology, Image Enhancement methods, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods
Abstract

Object: Dynamic susceptibility contrast MRI (DSC-MRI) is increasingly being used to evaluate cerebral microcirculation. In this study, the use of the analytic image reconstruction (AIR), with the aim to increase the temporal resolution, is evaluated for DSC-MRI in small animals., Materials and Methods: Imaging was performed using a T (2)*- weighted sequence to acquire male Lewis rats raw data. Results show that AIR satisfactory reconstructs DSC-MRI while preserving a good reconstruction quality and the image characteristics compared to the full k-space and keyhole reconstructed images. The combination of the choice of the baseline image and the proposed asymmetric acquisition schema enables an increase in temporal resolution, by a factor of four, thus having more sample points for better estimating perfusion parameters., Results: Computer simulations result in a mean cerebral blood volume of 1.22 that deviates from the full k-space value by -3% and a mean cerebral blood flow of 1.97 deviating from the full k-space value by -3% when the mean transit time did not change. Even if these deviations increase when achieving real acquisitions, AIR still better computes quantitative values than keyhole., Conclusion: AIR allows a good reconstruction of the dynamic stage of the image series thus leading to better dynamic effects analysis.

Published
2010
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26. Cardiac cine MR reconstruction from partial k-space using the notion of analytic image.

Author

Yankam Njiwa J, Hiba B, and Zhu Y

Subjects
Algorithms, Artifacts, Brain Mapping, Equipment Design, Humans, Image Processing, Computer-Assisted methods, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Cine methods, Models, Statistical, Phantoms, Imaging, Reproducibility of Results, Signal Transduction, Heart anatomy & histology, Image Processing, Computer-Assisted instrumentation, Magnetic Resonance Imaging, Cine instrumentation, Myocardium pathology
Abstract

In the concern of speeding the acquisition time and to increase the spatial resolution of magnetic resonance (MR) images, several methods have already been proposed that acquire partial k-space data and use this known information about the imaged object to deal the problem. This work presents a new approach of reconstructing cardiac cine images by using k-space redundancies. The proposed method is based on the use of the analytic image concept. It is evaluated by experiments on real human heart images and compared with the Homodyne detection (HM) and the Projection onto convex set (POCS) reconstruction techniques.

Published
2007
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