Difference between revisions of "Projects:DWIReorientation"
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Latest revision as of 01:00, 16 November 2013
Home < Projects:DWIReorientationBack to Stony Brook University Algorithms
Re-Orientation Approach for Segmentation of DW-MRI
Description
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
Publications
In Print
