Unknown

Dataset Information

Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI.


ABSTRACT: A number of methods have been proposed for resolving crossing fibers from diffusion-weighted (DW) MRI. However, other complex fiber geometries have drawn minimal attention. In this study, we focus on fiber orientation dispersion induced by within-voxel fanning. We use a multi-compartment, model-based approach to estimate fiber dispersion. Bingham distributions are employed to represent continuous distributions of fiber orientations, centered around a main orientation, and capturing anisotropic dispersion. We evaluate the accuracy of the model for different simulated fanning geometries, under different acquisition protocols and we illustrate the high SNR and angular resolution needs. We also perform a qualitative comparison between our parametric approach and five popular non-parametric tec

SUBMITTER: Sotiropoulos SN 

PROVIDER: S-EPMC3304013 | biostudies-literature | 2012 Apr

REPOSITORIES: biostudies-literature