A journey on your brain highways: diffusion MRI and connectomics of the future
REPARTI Seminar
Un voyage sur vos autoroutes c茅r茅brales : IRM de diffusion et connectomics du futur
A journey on your brain highways: diffusion MRI and connectomics of the future
Join 听
Meeting ID (Num茅ro de la rencontre) : 268 900 3498
Password (Mot de passe) : 135845
La pr茅sentation sera donn茅e en fran莽ais et les diapos seront en anglais.
The presentation will be given in French and the slides will be in English.
搁茅蝉耻尘茅 :
L'imagerie par r茅sonance magn茅tique de diffusion est bas茅e sur le mouvement brownien de la mol茅cule d'eau dans les tissus biologiques. Dans cet expos茅, je pr茅senterai l'imagerie de diffusion en bref 脿 des fins de quantification de l'int茅grit茅 de la mati猫re blanche et sa connectivit茅 via la tractographie. Je pr茅senterai de fa莽on didactique le 芦 connectome 禄, son importance pour les neurosciences et les maladies du cerveau, afin que tous les membres du REPARTI puissent appr茅cier et apprendre quelque chose. Je partagerai quelques contributions personnelles au domaine et vous donnerez ma vision du futur pour l'imagerie du connectome de fa莽on quantitative et multi-modale.
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Abstract:
Diffusion magnetic resonance imaging is based on the Brownian motion of the water molecules in biological tissue. In this talk, I will briefly present diffusion imaging for the purpose of quantifying the integrity of white matter and its connectivity via tractography. I will present in a didactic manner the "connectome", its importance for neurosciences and brain diseases, so that all REPARTI members will be able to learn something. I will share some personal contributions to the field and give you my vision of the future for connectome imaging in a quantitative and multimodal way.
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Bio:
Maxime DESCOTEAUX, PhD听is a Professor in Computer Science since 2009 in the Faculty of Science of Sherbrooke University. He is the founder and director of the . His research focuses on brain connectivity from state-of-the-art diffusion MRI acquisition, reconstruction, tractography, processing and visualization. The aim of the SCIL is to better understand structural connectivity, develop novel tractography algorithms, validate them and use them for human brain mapping and connectomics applications. Maxime Descoteaux was a post-doctoral fellow at听听under the supervision of Cyril Poupon and Denis Le Bihan. He also obtained a PhD in Computer Science at听, supervised by R. Deriche after completing a M.Sc. under the supervision of K. Siddiqi in听听at the听Center for Intelligent Machines, 平特五不中, where he also obtained a B.Sc., graduating from the joint honors听Mathematics听and Computer Science program. Professor Descoteaux holds the USherbrooke Institutional Research Chair in NeuroInformatics. He has been cited more than 8500+ times and has 110+ journal publications, according to听.
