Difference between revisions of "Projects:DWIReorientation"

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Georgia Tech: Allen Tannenbaum, Marc Niethammer, John Melonakos
 
Georgia Tech: Allen Tannenbaum, Marc Niethammer, John Melonakos
UNC: C Zach
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UNC: C Zach
  
 
= Publications =
 
= Publications =

Revision as of 20:16, 27 August 2009

Home < Projects:DWIReorientation
Back 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

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