Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI

Autor: Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto de Luca, Josien Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick J. Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi-Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prčkovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki

Publikováno v: NeuroImage, Vol 257, Iss , Pp 119327- (2022)

Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While the technical advances spearheaded by the Human Connectome Project (HCP) led to significant improvements in d

Externí odkaz: https://doaj.org/article/e111f2d4d7204bdabb7e61633ca37871

Assessing the validity of the approximation of diffusion‐weighted‐MRI signals from crossing fascicles by sums of signals from single fascicles

Autor: Benoit Scherrer, Benoît Macq, Gaëtan Rensonnet, Maxime Taquet, Simon K. Warfield

Publikováno v: Magnetic Resonance in Medicine, Vol. 79, no.4, p. 2332-2345

Purpose To assess the validity of the superposition approximation for crossing fascicles, i.e., the assumption that the total diffusion-weighted MRI signal is the sum of the signals arising from each fascicle independently, even when the fascicles in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18a7146ac8d28cf198214dc4ebe2c7bb
https://doi.org/10.1002/mrm.26832

Decoupling Axial and Radial Tissue Heterogeneity in Diffusion Compartment Imaging

Autor: Sanjay P. Prabhu, Armin Schwartzman, Benoit Scherrer, Maxime Taquet, Gaëtan Rensonnet, Etienne St-Onge, Simon K. Warfield

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319590493
IPMI

Diffusion compartment imaging (DCI) characterizes tissues in vivo by separately modeling the diffusion signal arising from a finite number of large scale microstructural environments in each voxel, also referred to as compartments. The DIAMOND model

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::607f3b14b5b650b86920d734b41cef99
https://doi.org/10.1007/978-3-319-59050-9_35

Fast and accurate simulations of diffusion-weighted MRI signals for the evaluation of acquisition sequences

Autor: Damien Jacobs, Maxime Taquet, Gaëtan Rensonnet, Benoît Macq

Publikováno v: Medical Imaging: Image Processing

Diffusion-weighted magnetic resonance imaging (DW-MRI) is a powerful tool to probe the diffusion of water through tissues. Through the application of magnetic gradients of appropriate direction, intensity and duration constituting the acquisition par

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cbc58b42222d2eb31133d859c3d98a2d
https://doi.org/10.1117/12.2217422

Limits to anatomical accuracy of diffusion tractography using modern approaches

Autor: Erick J. Canales-Rodríguez, Jean-Philippe Thiran, Carlo Pierpaoli, Colin B. Hansen, Gabriel Girard, Vishwesh Nath, Simona Schiavi, Bennett A. Landman, Chao Huang, Muhamed Barakovic, Carl-Fredrik Westin, Gaëtan Rensonnet, Yogesh Rathi, Maxime Chamberland, Tim B. Dyrby, Prasanna Parvathaneni, Justin A. Blaber, Hongtu Zhu, M. Okan Irfanoglu, Ragini Verma, Elda Fischi, Maxime Descoteaux, Adam W. Anderson, Alice P. Bates, Alessandro Daducci, Yurui Gao, Liming Zhong, Jasmeen Sidhu, Jean Christophe Houde, Arthur W. Toga, Jonathan Rafael-Patino, Yonggang Shi, Peter Neher, Cibu Thomas, David Romascano, Dogu Baran Aydogan, Mario Ocampo-Pineda, Marco Pizzolato, Ryan P. Cabeen, Kurt G. Schilling, François Rheault, Guillaume Theaud

Publikováno v: Schilling, K G, Nath, V, Hansen, C, Parvathaneni, P, Blaber, J, Gao, Y, Neher, P, Aydogan, D B, Shi, Y, Ocampo-Pineda, M, Schiavi, S, Daducci, A, Girard, G, Barakovic, M, Rafael-Patino, J, Romascano, D, Rensonnet, G, Pizzolato, M, Bates, A, Fischi, E, Thiran, J P, Canales-Rodríguez, E J, Huang, C, Zhu, H, Zhong, L, Cabeen, R, Toga, A W, Rheault, F, Theaud, G, Houde, J C, Sidhu, J, Chamberland, M, Westin, C F, Dyrby, T B, Verma, R, Rathi, Y, Irfanoglu, M O, Thomas, C, Pierpaoli, C, Descoteaux, M, Anderson, A W & Landman, B A 2019, ' Limits to anatomical accuracy of diffusion tractography using modern approaches ', NeuroImage, vol. 185, pp. 1-11 . https://doi.org/10.1016/j.neuroimage.2018.10.029

Diffusion MRI fiber tractography is widely used to probe the structural connectivity of thebrain, with a range of applications in both clinical and basic neuroscience. Despite widespread use, tractography has well-known pitfalls that limits the anato

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ec4045dcb17c7a2441dabbb9d724f6e
https://infoscience.epfl.ch/record/261144