Human brain tissue microstructure characterization using 3D-SHORE on the HCP data
Mauro Zucchelli 1 , Maxime Descoteaux 2 , and Gloria Menegaz 1
Computer Science, University Of Verona,
Verona, Verona, Italy,
Connectivity Imaging Lab (SCIL), Universit de
Sherbrooke, Sherbrooke, Quebec, Canada
The Human Connectome Project (HCP) high resolution data
represents the state of the art for diffusion imaging in
human brain. 3D-SHORE is an analytical basis for
diffusion MRI which is able to reconstruct the Ensemble
Average Propagator (EAP) from multi-shell data for the
characterization of the diffusion process in each voxel.
In this work we calculated the analytical expressions
for the recently introduced EAP-derived microstructural
indices including RTOP, RTAP and RTPP for 3D-SHORE
model. The use of the HCP data in combination with these
biomarkers provides an estimation of microstructural
changes between the different brain tissues.
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