Title
Labeling of ambiguous subvoxel fibre bundle configurations in high angular resolution diffusion MRI.
Abstract
Whereas high angular resolution reconstruction methods for diffusion MRI can estimate multiple dominant fibre orientations within a single imaging voxel, they are fundamentally limited in certain cases of complex subvoxel fibre structures, resulting in ambiguous local orientation distribution functions. In this article we address the important problem of disambiguating such complex subvoxel fibre tract configurations, with the purpose of improving the performance of fibre tractography. We do so by extending a curve inference method to distinguish between the cases of curving and fanning fibre bundles using differential geometric estimates in a local neighbourhood. The key benefit of this method is the inference of curves, instead of only fibre orientations, to model the underlying fibre bundles. This in turn allows distinct fibre geometries that contain nearly identical sets of fibre orientations at a voxel, to be distinguished from one another. Experimental results demonstrate the ability of the method to successfully label voxels into one of the above categories and improve the performance of a fibre-tracking algorithm.
Year
DOI
Venue
2008
10.1016/j.neuroimage.2008.01.028
NeuroImage
Keywords
Field
DocType
diffusion mri
Voxel,Diffusion MRI,Pattern recognition,Inference,Cognitive psychology,Angular resolution,Artificial intelligence,Geometry,Tractography,Mathematics,Fiber bundle
Journal
Volume
Issue
ISSN
41
1
1053-8119
Citations 
PageRank 
References 
27
1.42
19
Authors
6
Name
Order
Citations
PageRank
Peter Savadjiev114412.06
Jennifer S W Campbell225518.91
Maxime Descoteaux391256.38
Rachid Deriche44903633.65
G Bruce Pike5699132.31
Kaleem Siddiqi63259242.07