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Re-Orientation Approach for Segmentation of DW-MRI


This work 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 which allows for a convex optimization formulation of the segmentation problem, combining orientation statistics and spatial regularization. The approach compares very favorably with segmentation by full-brain streamline tractography. See Figure 4.

Key Investigators

Georgia Tech: Allen Tannenbaum, Marc Niethammer, John Melonakos


In Print