Difference between revisions of "Projects:DWIReorientation"
From NAMIC Wiki
| Line 11: | Line 11: | ||
Georgia Tech: Allen Tannenbaum, Marc Niethammer, John Melonakos | Georgia Tech: Allen Tannenbaum, Marc Niethammer, John Melonakos | ||
| − | UNC: C Zach | + | UNC: C Zach |
= Publications = | = Publications = | ||
Revision as of 20:16, 27 August 2009
Home < Projects:DWIReorientationBack to NA-MIC Collaborations, MGH Algorithms,Georgia Tech 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
UNC: C Zach
Publications
In Print
Bold text
