Difference between revisions of "Projects:DiffusionMeasuresAlongFiberTracts"
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We improved the diffusion MRI module in slicer to allow for a better fiber selection (based on multiple regions of interest) as well as fiber clustering. We set up a processing pipeline to allow for statistical computations of fiber diffusion properties across the fibers of a fiber bundle and along the bundle itself. Further, we are in the process of developing a continuous representation of fiber bundles (see Figure) to allow for a more geometric computation of bundle diffusion quantities. | We improved the diffusion MRI module in slicer to allow for a better fiber selection (based on multiple regions of interest) as well as fiber clustering. We set up a processing pipeline to allow for statistical computations of fiber diffusion properties across the fibers of a fiber bundle and along the bundle itself. Further, we are in the process of developing a continuous representation of fiber bundles (see Figure) to allow for a more geometric computation of bundle diffusion quantities. | ||
| − | [[Image:Cingulum_reseeded_withtrajectories.png | + | [[Image:Cingulum_reseeded_withtrajectories.png|thumb|400px|Cingulum bundle with arclength parameterization.]] |
'''Key Investigators''' | '''Key Investigators''' | ||
Revision as of 12:34, 4 September 2007
Home < Projects:DiffusionMeasuresAlongFiberTractsDiffusion Measures Along Fiber Tracts
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Objective
To quantify changes in diffusion properties along the cingulum bundle for schizophrenics and normal controls.
Progress
We improved the diffusion MRI module in slicer to allow for a better fiber selection (based on multiple regions of interest) as well as fiber clustering. We set up a processing pipeline to allow for statistical computations of fiber diffusion properties across the fibers of a fiber bundle and along the bundle itself. Further, we are in the process of developing a continuous representation of fiber bundles (see Figure) to allow for a more geometric computation of bundle diffusion quantities.
Key Investigators
- Harvard PNL: Marc Niethammer, Sylvain Bouix, Marek Kubicki, Mark Dreusicke, Martha Shenton
- MIT: CF Westin, Lauren O'Donnell, Raul San Jose
Links
