Near-Tubular Fiber Bundle Segmentation for Diffusion Weighted Imaging: Segmentation Through Frame Reorientation
OSTP Journal Article
University of North Carolina at Chapel Hill Chapel Hill United States
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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.
- Medicine and Medical Research