Abstract：
:This paper proposes a methodology to segment near-tubular fiber bundles from diffusion weighted magnetic resonance images (DW-MRI). Segmentation is simplified by locally reorienting diffusion information based on large-scale fiber bundle geometry. Segmentation is achieved through simple global statistical modeling of diffusion orientation. Utilizing a modification of a recent segmentation approach by Bresson et al. allows for a convex optimization formulation of the segmentation problem, combining orientation statistics and spatial regularization. The approach compares favorably with segmentation by full-brain streamline tractography.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Niethammer M,Zach C,Melonakos J,Tannenbaum Adoi
10.1016/j.neuroimage.2008.11.001subject
Has Abstractpub_date
2009-03-01 00:00:00pages
S123-32issue
1 Suppleissn
1053-8119issn
1095-9572pii
S1053-8119(08)01198-1journal_volume
45pub_type
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