Tubular Fiber Bundles Segmentation for Diffusion Weighted Images

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Date
2008-09-10Author
Niethammer, Marc
Zach, Christopher
Melonakos, John
Tannenbaum, Allen R.
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Show full item recordAbstract
This paper proposes a methodology to segment 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. [19] 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.