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 Bihan^1,2,3

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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