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

摘要: A number of methods have been proposed for resolving crossing fibers from diffusion-weighted (DW) MRI. However, other complex fiber geometries drawn minimal attention. In this study, we focus on orientation dispersion induced by within-voxel fanning. We use a multi-compartment, model-based approach to estimate dispersion. Bingham distributions are employed represent continuous orientations, centered around main orientation, and capturing anisotropic evaluate the accuracy model different simulated fanning geometries, under acquisition protocols illustrate high SNR angular resolution needs. also perform qualitative comparison between our parametric five popular non-parametric techniques that based distribution functions (ODFs). This illustrates how same underlying geometry can be depicted methods. apply high-quality, post-mortem macaque data present whole-brain maps dispersion, as well exquisite details local anatomy in various white matter regions.