Meeting Banner
Abstract #3235

Investigating Diffusion-MRI based neurite density estimation model dependency: an in-vivo study on the HCP dataset

Mauro Zucchelli1, Maxime Descoteaux2, and Gloria Menegaz1

1University Of Verona, Verona, Italy, 2Université De Sherbrooke, Sherbrooke, QC, Canada

Diffusion MRI can be used to estimate the brain tissue neurite density from Multi-Compartment models. This index corresponds to the “stick” compartment volume fraction estimated in every voxel. In this work, we provide evidence that the distribution of stick volume fraction is characteristic of the brain tissue and is highly reproducible between subjects but strongly depends on the underlying multi-compartment model definition. In particular, in-vivo results on 10 subjects of the Human Connectome Project show that the neurite density distribution depends on both the stick parallel diffusivity and the extra-axonal compartment model.

This abstract and the presentation materials are available to members only; a login is required.

Join Here