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Ball and rackets: inferring fiber fanning from diffusion-weighted MRI

Sotiropoulos, Stamatios N.; Behrens, Timothy E.J.; Jbabdi, Saad

Ball and rackets: inferring fiber fanning from diffusion-weighted MRI Thumbnail


Timothy E.J. Behrens

Saad Jbabdi


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 techniques that are based on orientation distribution functions (ODFs). This comparison illustrates how the same underlying geometry can be depicted by different methods. We apply the proposed model on high-quality, post-mortem macaque data and present whole-brain maps of fiber dispersion, as well as exquisite details on the local anatomy of fiber distributions in various white matter regions.


Sotiropoulos, S. N., Behrens, T. E., & Jbabdi, S. (2012). Ball and rackets: inferring fiber fanning from diffusion-weighted MRI. NeuroImage, 60(2),

Journal Article Type Article
Acceptance Date Jan 5, 2012
Online Publication Date Jan 14, 2012
Publication Date Apr 2, 2012
Deposit Date Jul 12, 2018
Publicly Available Date Jul 12, 2018
Journal NeuroImage
Print ISSN 1053-8119
Electronic ISSN 1053-8119
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 60
Issue 2
Public URL
Publisher URL


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