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Abstract #4455

Parcellation of the human brain cortex using a model free, sparse acquisition diffusion MRI approach («S-index»)

Tetsuya Yamamoto1, Masaki Fukunaga1, Norihiro Sadato1, and Denis Le Bihan1,2,3
1Department of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Japan, 2Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 3NeuroSpin/Joliot, CEA-Saclay Center, Paris-Saclay University, Gif-sur-Yvette, France

We have used a model free diffusion MRI approach (S-index) to classify brain tissue types from the “proximity” or resemblance of their diffusion MRI signal profile at a sparse set of key b values (maximizing sensitivity to tissue microstructure) to a library of “signature” signal profiles (e.g. typical brain grey and white matter). 3D S-index maps have been generated and overlaid on a brain parcellation atlas from the Human Connectome Project showing differences among cortical brain areas.

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