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1. FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Author

Lekadir, Karim, Feragen, Aasa, Fofanah, Abdul Joseph, Frangi, Alejandro F, Buyx, Alena, Emelie, Anais, Lara, Andrea, Porras, Antonio R, Chan, An-Wen, Navarro, Arcadi, Glocker, Ben, Botwe, Benard O, Khanal, Bishesh, Beger, Brigit, Wu, Carol C, Cintas, Celia, Langlotz, Curtis P, Rueckert, Daniel, Mzurikwao, Deogratias, Fotiadis, Dimitrios I, Zhussupov, Doszhan, Ferrante, Enzo, Meijering, Erik, Weicken, Eva, González, Fabio A, Asselbergs, Folkert W, Prior, Fred, Krestin, Gabriel P, Collins, Gary, Tegenaw, Geletaw S, Kaissis, Georgios, Misuraca, Gianluca, Tsakou, Gianna, Dwivedi, Girish, Kondylakis, Haridimos, Jayakody, Harsha, Woodruf, Henry C, Mayer, Horst Joachim, Aerts, Hugo JWL, Walsh, Ian, Chouvarda, Ioanna, Buvat, Irène, Tributsch, Isabell, Rekik, Islem, Duncan, James, Kalpathy-Cramer, Jayashree, Zahir, Jihad, Park, Jinah, Mongan, John, Gichoya, Judy W, Schnabel, Julia A, Kushibar, Kaisar, Riklund, Katrine, Mori, Kensaku, Marias, Kostas, Amugongo, Lameck M, Fromont, Lauren A, Maier-Hein, Lena, Alberich, Leonor Cerdá, Rittner, Leticia, Phiri, Lighton, Marrakchi-Kacem, Linda, Donoso-Bach, Lluís, Martí-Bonmatí, Luis, Cardoso, M Jorge, Bobowicz, Maciej, Shabani, Mahsa, Tsiknakis, Manolis, Zuluaga, Maria A, Bielikova, Maria, Fritzsche, Marie-Christine, Camacho, Marina, Linguraru, Marius George, Wenzel, Markus, De Bruijne, Marleen, Tolsgaard, Martin G, Ghassemi, Marzyeh, Ashrafuzzaman, Md, Goisauf, Melanie, Yaqub, Mohammad, Abadía, Mónica Cano, Mahmoud, Mukhtar M E, Elattar, Mustafa, Rieke, Nicola, Papanikolaou, Nikolaos, Lazrak, Noussair, Díaz, Oliver, Salvado, Olivier, Pujol, Oriol, Sall, Ousmane, Guevara, Pamela, Gordebeke, Peter, Lambin, Philippe, Brown, Pieta, Abolmaesumi, Purang, Dou, Qi, Lu, Qinghua, Osuala, Richard, Nakasi, Rose, Zhou, S Kevin, Napel, Sandy, Colantonio, Sara, Albarqouni, Shadi, Joshi, Smriti, Carter, Stacy, Klein, Stefan, Petersen, Steffen E, Aussó, Susanna, Awate, Suyash, Raviv, Tammy Riklin, Cook, Tessa, Mutsvangwa, Tinashe E M, Rogers, Wendy A, Niessen, Wiro J, Puig-Bosch, Xènia, Zeng, Yi, Mohammed, Yunusa G, Aquino, Yves Saint James, Salahuddin, Zohaib, and Starmans, Martijn P A

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, I.2.0, I.4.0, I.5.0
Abstract

Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. In recent years, concerns have been raised about the technical, clinical, ethical and legal risks associated with medical AI. To increase real world adoption, it is essential that medical AI tools are trusted and accepted by patients, clinicians, health organisations and authorities. This work describes the FUTURE-AI guideline as the first international consensus framework for guiding the development and deployment of trustworthy AI tools in healthcare. The FUTURE-AI consortium was founded in 2021 and currently comprises 118 inter-disciplinary experts from 51 countries representing all continents, including AI scientists, clinicians, ethicists, and social scientists. Over a two-year period, the consortium defined guiding principles and best practices for trustworthy AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. The FUTURE-AI framework was established based on 6 guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 28 best practices were defined, addressing technical, clinical, legal and socio-ethical dimensions. The recommendations cover the entire lifecycle of medical AI, from design, development and validation to regulation, deployment, and monitoring. FUTURE-AI is a risk-informed, assumption-free guideline which provides a structured approach for constructing medical AI tools that will be trusted, deployed and adopted in real-world practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of medical AI.

Published
2023

3. Robust imaging of hippocampal inner structure at 7T: in vivo acquisition protocol and methodological choices

Author

Marrakchi-Kacem, Linda, Vignaud, Alexandre, Sein, Julien, Germain, Johanne, Henry, Thomas R, Poupon, Cyril, Hertz-Pannier, Lucie, Lehéricy, Stéphane, Colliot, Olivier, Van de Moortele, Pierre-François, and Chupin, Marie

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

OBJECTIVE:Motion-robust multi-slab imaging of hippocampal inner structure in vivo at 7T.MATERIALS AND METHODS:Motion is a crucial issue for ultra-high resolution imaging, such as can be achieved with 7T MRI. An acquisition protocol was designed for imaging hippocampal inner structure at 7T. It relies on a compromise between anatomical details visibility and robustness to motion. In order to reduce acquisition time and motion artifacts, the full slab covering the hippocampus was split into separate slabs with lower acquisition time. A robust registration approach was implemented to combine the acquired slabs within a final 3D-consistent high-resolution slab covering the whole hippocampus. Evaluation was performed on 50 subjects overall, made of three groups of subjects acquired using three acquisition settings; it focused on three issues: visibility of hippocampal inner structure, robustness to motion artifacts and registration procedure performance.RESULTS:Overall, T2-weighted acquisitions with interleaved slabs proved robust. Multi-slab registration yielded high quality datasets in 96 % of the subjects, thus compatible with further analyses of hippocampal inner structure.CONCLUSION:Multi-slab acquisition and registration setting is efficient for reducing acquisition time and consequently motion artifacts for ultra-high resolution imaging of the inner structure of the hippocampus.

Published
2016

5. Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms

Author

Gori, Pietro, Colliot, Olivier, Marrakchi-Kacem, Linda, Worbe, Yulia, Routier, Alexandre, Poupon, Cyril, Hartmann, Andreas, Ayache, Nicholas, Durrleman, Stanley, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ourselin, Sebastien, editor, Alexander, Daniel C., editor, Westin, Carl-Fredrik, editor, and Cardoso, M. Jorge, editor

Published
2015
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6. A Prototype Representation to Approximate White Matter Bundles with Weighted Currents

Author

Gori, Pietro, Colliot, Olivier, Marrakchi-Kacem, Linda, Worbe, Yulia, De Vico Fallani, Fabrizio, Chavez, Mario, Lecomte, Sophie, Poupon, Cyril, Hartmann, Andreas, Ayache, Nicholas, Durrleman, Stanley, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Golland, Polina, editor, Hata, Nobuhiko, editor, Barillot, Christian, editor, Hornegger, Joachim, editor, and Howe, Robert, editor

Published
2014
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8. Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes

Author

Gori, Pietro, Colliot, Olivier, Worbe, Yulia, Marrakchi-Kacem, Linda, Lecomte, Sophie, Poupon, Cyril, Hartmann, Andreas, Ayache, Nicholas, Durrleman, Stanley, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Mori, Kensaku, editor, Sakuma, Ichiro, editor, Sato, Yoshinobu, editor, Barillot, Christian, editor, and Navab, Nassir, editor

Published
2013
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9. Segmentation of Short Association Bundles in Massive Tractography Datasets Using a Multi-subject Bundle Atlas

Author

Guevara, Pamela, Duclap, Delphine, Poupon, Cyril, Marrakchi-Kacem, Linda, Houenou, Josselin, Leboyer, Marion, Mangin, Jean-François, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, San Martin, César, editor, and Kim, Sang-Woon, editor

Published
2011
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10. Analysis of the Striato-Thalamo-Cortical Connectivity on the Cortical Surface to Infer Biomarkers of Huntington’s Disease

Author

Marrakchi-Kacem, Linda, Delmaire, Christine, Tucholka, Alan, Roca, Pauline, Guevara, Pamela, Poupon, Fabrice, Yelnik, Jérôme, Durr, Alexandra, Mangin, Jean-François, Lehericy, Stéphane, Poupon, Cyril, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Jiang, Tianzi, editor, Navab, Nassir, editor, Pluim, Josien P. W., editor, and Viergever, Max A., editor

Published
2010
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15. A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus From 7 T MRI

Author

Guyot, Alexis, primary, Fouquier, Ana B. Graciano, additional, Gerardin, Emilie, additional, Chupin, Marie, additional, Glaunes, Joan A., additional, Marrakchi-Kacem, Linda, additional, Germain, Johanne, additional, Boutet, Claire, additional, Cury, Claire, additional, Hertz-Pannier, Lucie, additional, Vignaud, Alexandre, additional, Durrleman, Stanley, additional, Henry, Thomas R., additional, van de Moortele, Pierre-Francois, additional, Trouve, Alain, additional, and Colliot, Olivier, additional

Published
2021
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19. Analysis of the Striato-Thalamo-Cortical Connectivity on the Cortical Surface to Infer Biomarkers of Huntington’s Disease

Author

Marrakchi-Kacem, Linda, primary, Delmaire, Christine, additional, Tucholka, Alan, additional, Roca, Pauline, additional, Guevara, Pamela, additional, Poupon, Fabrice, additional, Yelnik, Jérôme, additional, Durr, Alexandra, additional, Mangin, Jean-François, additional, Lehericy, Stéphane, additional, and Poupon, Cyril, additional

Published
2010
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21. Imaging of hippocampal inner structure at 7T: robust in-vivo acquisition protocol

Author

Marrakchi-Kacem, Linda, Vignaud, Alexandre, Sein, Julien, Germain, Johanne, Epelbaum, Stéphane, Henry, Thomas R, Cyril, Poupon, Hertz-Pannier, Lucie, Lehéricy, Stéphane, Colliot, Olivier, van de Moortele, Pierre-François, Chupin, Marie, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-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), Service NEUROSPIN (NEUROSPIN), 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, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC), Dpt of Neurology [Minneapolis], University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, Epilepsies de l'Enfant et Plasticité Cérébrale (U1129), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Neuro-Imagerie de Recherche (CENIR), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Center for Magnetic Resonance Research [Minneapolis] (CMRR), University of Minnesota Medical School, 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), 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), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), 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)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), University of Minnesota [Twin Cities] (UMN), Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris] (CENIR), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-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)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-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)-Sorbonne Université (SU)-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)-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), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Algorithms, models and methods for images and signals of the human brain ( ARAMIS ), Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -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 ) -Centre National de la Recherche Scientifique ( CNRS ) -CHU Pitié-Salpêtrière [APHP]-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 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, Centre de résonance magnétique biologique et médicale ( CRMBM ), Aix Marseille Université ( AMU ) -Assistance Publique - Hôpitaux de Marseille ( APHM ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] ( IM2A ), Université Pierre et Marie Curie - Paris 6 ( UPMC ), University of Minnesota [Minneapolis], Epilepsies de l'Enfant et Plasticité Cérébrale ( U1129 ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre de Neuro-Imagerie de Recherche ( CENIR ), Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], and Center for Magnetic Resonance Research [Minneapolis] ( CMRR )

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

International audience

Published
2015

22. Detection of volume loss in hippocampal layers in Alzheimer3s disease using 7 T MRI: A feasibility study

Author

Boutet, Claire, Chupin, Marie, Lehericy, Stephane, Marrakchi-Kacem, Linda, Epelbaum, Stéphane, Poupon, Cyril, Wiggins, Christopher, Vignaud, Alexandre, Hasboun, Dominique, Defontaines, Bénédicte, Hanon, Olivier, Dubois, Bruno, Sarazin, Marie, Hertz-Pannier, Lucie, Colliot, Olivier, 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 (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], Centre de Neuro-Imagerie de Recherche (CENIR), 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), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC), Service NEUROSPIN (NEUROSPIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Réseau mémoire Aloïs, Dpt Gérontologie [CHU Broca], AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Neurologie de la mémoire et du langage [CHU Ste Anne], Université Paris Descartes - Paris 5 (UPD5), Epilepsies de l'Enfant et Plasticité Cérébrale, and Hôpital Necker - Enfants Malades - Université Paris Descartes - Paris 5 (UPD5) - Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, nervous system, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
Abstract

International audience; In Alzheimer3s disease (AD), the hippocampus is an early site of tau pathology and neurodegeneration. Histological studies have shown that lesions are not uniformly distributed within the hippocampus. Moreover, alterations of different hippocampal layers may reflect distinct pathological processes. 7 T MRI dramatically improves the vi-sualization of hippocampal subregions and layers. In this study, we aimed to assess whether 7 T MRI can detect volumetric changes in hippocampal layers in vivo in patients with AD. We studied four AD patients and seven control subjects. MR images were acquired using a whole-body 7 T scanner with an eight channel transmit– receive coil. Hippocampal subregions were manually segmented from coronal T2*-weighted gradient echo images with 0.3 × 0.3 × 1.2 mm 3 resolution using a protocol that distinguishes between layers richer or poorer in neuronal bodies. Five subregions were segmented in the region of the hippocampal body: alveus, strata radiatum, lacunosum and moleculare (SRLM) of the cornu Ammonis (CA), hilum, stratum pyramidale of CA and stratum pyramidale of the subiculum. We found strong bilateral reductions in the SRLM of the cornu Ammonis and in the stratum pyramidale of the subiculum (p b 0.05), with average cross-sectional area reductions ranging from −29% to −49%. These results show that it is possible to detect volume loss in distinct hippocampal layers using segmentation of 7 T MRI. 7 T MRI-based segmentation is a promising tool for AD research.

Published
2014

23. Robust imaging of hippocampal inner structure at 7T: in vivo acquisition protocol and methodological choices

Author

Marrakchi-Kacem, Linda, primary, Vignaud, Alexandre, additional, Sein, Julien, additional, Germain, Johanne, additional, Henry, Thomas R., additional, Poupon, Cyril, additional, Hertz-Pannier, Lucie, additional, Lehéricy, Stéphane, additional, Colliot, Olivier, additional, Van de Moortele, Pierre-François, additional, and Chupin, Marie, additional

Published
2016
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24. Intra-subject multi-slab registration: Application to hippocampal ultra-high resolution imaging at 7T

Author

Marrakchi-Kacem, Linda, primary, Vignaud, Alexandre, additional, Sein, Julien, additional, Germain, Johanne, additional, Henry, Thomas R., additional, Poupon, Cyril, additional, Hertz-Pannier, Lucie, additional, Lehericy, Stephane, additional, Colliot, Olivier, additional, Van De Moortele, Pierre-Francois, additional, and Chupin, Marie, additional

Published
2016
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25. Altered structural connectivity of cortico-striato-pallido-thalamic networks in Gilles de la Tourette syndrome

Author

Worbe, Yulia, primary, Marrakchi-Kacem, Linda, additional, Lecomte, Sophie, additional, Valabregue, Romain, additional, Poupon, Fabrice, additional, Guevara, Pamela, additional, Tucholka, Alan, additional, Mangin, Jean-François, additional, Vidailhet, Marie, additional, Lehericy, Stephane, additional, Hartmann, Andreas, additional, and Poupon, Cyril, additional

Published
2014
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30. Mapping Cortico-Striatal Connectivity onto the Cortical Surface: A New Tractography-Based Approach to Study Huntington Disease

Author

Marrakchi-Kacem, Linda, primary, Delmaire, Christine, additional, Guevara, Pamela, additional, Poupon, Fabrice, additional, Lecomte, Sophie, additional, Tucholka, Alan, additional, Roca, Pauline, additional, Yelnik, Jérôme, additional, Durr, Alexandra, additional, Mangin, Jean-François, additional, Lehéricy, Stéphane, additional, and Poupon, Cyril, additional

Published
2013
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33. Robust imaging of hippocampal inner structure at 7T: in vivo acquisition protocol and methodological choices.

Author

Marrakchi-Kacem L, Vignaud A, Sein J, Germain J, Henry TR, Poupon C, Hertz-Pannier L, Lehéricy S, Colliot O, Van de Moortele PF, and Chupin M

Subjects
Algorithms, Artifacts, Healthy Volunteers, Humans, Image Enhancement methods, Image Interpretation, Computer-Assisted methods, Imaging, Three-Dimensional, Motion, Prevalence, Reproducibility of Results, Brain Mapping methods, Hippocampus diagnostic imaging, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods
Abstract

Objective: Motion-robust multi-slab imaging of hippocampal inner structure in vivo at 7T., Materials and Methods: Motion is a crucial issue for ultra-high resolution imaging, such as can be achieved with 7T MRI. An acquisition protocol was designed for imaging hippocampal inner structure at 7T. It relies on a compromise between anatomical details visibility and robustness to motion. In order to reduce acquisition time and motion artifacts, the full slab covering the hippocampus was split into separate slabs with lower acquisition time. A robust registration approach was implemented to combine the acquired slabs within a final 3D-consistent high-resolution slab covering the whole hippocampus. Evaluation was performed on 50 subjects overall, made of three groups of subjects acquired using three acquisition settings; it focused on three issues: visibility of hippocampal inner structure, robustness to motion artifacts and registration procedure performance., Results: Overall, T2-weighted acquisitions with interleaved slabs proved robust. Multi-slab registration yielded high quality datasets in 96 % of the subjects, thus compatible with further analyses of hippocampal inner structure., Conclusion: Multi-slab acquisition and registration setting is efficient for reducing acquisition time and consequently motion artifacts for ultra-high resolution imaging of the inner structure of the hippocampus.

Published
2016
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34. Detection of volume loss in hippocampal layers in Alzheimer's disease using 7 T MRI: a feasibility study.

Author

Boutet C, Chupin M, Lehéricy S, Marrakchi-Kacem L, Epelbaum S, Poupon C, Wiggins C, Vignaud A, Hasboun D, Defontaines B, Hanon O, Dubois B, Sarazin M, Hertz-Pannier L, and Colliot O

Subjects
Aged, Feasibility Studies, Female, Humans, Male, Middle Aged, Alzheimer Disease pathology, Hippocampus pathology, Image Interpretation, Computer-Assisted methods, Magnetic Resonance Imaging
Abstract

In Alzheimer's disease (AD), the hippocampus is an early site of tau pathology and neurodegeneration. Histological studies have shown that lesions are not uniformly distributed within the hippocampus. Moreover, alterations of different hippocampal layers may reflect distinct pathological processes. 7 T MRI dramatically improves the visualization of hippocampal subregions and layers. In this study, we aimed to assess whether 7 T MRI can detect volumetric changes in hippocampal layers in vivo in patients with AD. We studied four AD patients and seven control subjects. MR images were acquired using a whole-body 7 T scanner with an eight channel transmit-receive coil. Hippocampal subregions were manually segmented from coronal T2*-weighted gradient echo images with 0.3 × 0.3 × 1.2 mm3 resolution using a protocol that distinguishes between layers richer or poorer in neuronal bodies. Five subregions were segmented in the region of the hippocampal body: alveus, strata radiatum, lacunosum and moleculare (SRLM) of the cornu Ammonis (CA), hilum, stratum pyramidale of CA and stratum pyramidale of the subiculum. We found strong bilateral reductions in the SRLM of the cornu Ammonis and in the stratum pyramidale of the subiculum (p < 0.05), with average cross-sectional area reductions ranging from -29% to -49%. These results show that it is possible to detect volume loss in distinct hippocampal layers using segmentation of 7 T MRI. 7 T MRI-based segmentation is a promising tool for AD research.

Published
2014
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