Ball and rackets: inferring fiber fanning from diffusion-weighted MRI
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-base...
| Main Authors: | , , |
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| Format: | Article |
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Elsevier
2012
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| Online Access: | https://eprints.nottingham.ac.uk/52903/ |
| _version_ | 1848798836461404160 |
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| author | Sotiropoulos, Stamatios N. Behrens, Timothy E.J. Jbabdi, Saad |
| author_facet | Sotiropoulos, Stamatios N. Behrens, Timothy E.J. Jbabdi, Saad |
| author_sort | Sotiropoulos, Stamatios N. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:26:06Z |
| format | Article |
| id | nottingham-52903 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:26:06Z |
| publishDate | 2012 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-529032020-05-04T16:33:03Z https://eprints.nottingham.ac.uk/52903/ Ball and rackets: inferring fiber fanning from diffusion-weighted MRI Sotiropoulos, Stamatios N. Behrens, Timothy E.J. Jbabdi, Saad 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. Elsevier 2012-04-02 Article PeerReviewed Sotiropoulos, Stamatios N., Behrens, Timothy E.J. and Jbabdi, Saad (2012) Ball and rackets: inferring fiber fanning from diffusion-weighted MRI. NeuroImage, 60 (2). pp. 1412-1425. ISSN 1053-8119 https://www.sciencedirect.com/science/article/pii/S1053811912000730?via%3Dihub doi:10.1016/j.neuroimage.2012.01.056 doi:10.1016/j.neuroimage.2012.01.056 |
| spellingShingle | Sotiropoulos, Stamatios N. Behrens, Timothy E.J. Jbabdi, Saad Ball and rackets: inferring fiber fanning from diffusion-weighted MRI |
| title | Ball and rackets: inferring fiber fanning from diffusion-weighted MRI |
| title_full | Ball and rackets: inferring fiber fanning from diffusion-weighted MRI |
| title_fullStr | Ball and rackets: inferring fiber fanning from diffusion-weighted MRI |
| title_full_unstemmed | Ball and rackets: inferring fiber fanning from diffusion-weighted MRI |
| title_short | Ball and rackets: inferring fiber fanning from diffusion-weighted MRI |
| title_sort | ball and rackets: inferring fiber fanning from diffusion-weighted mri |
| url | https://eprints.nottingham.ac.uk/52903/ https://eprints.nottingham.ac.uk/52903/ https://eprints.nottingham.ac.uk/52903/ |