Difference between revisions of "Projects:DTIQuantitativeTractAnalysis"
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= DTI Quantitative Tract Analysis = | = DTI Quantitative Tract Analysis = | ||
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This project proposes a framework for quantitative analysis of DTI data. The framework uses the full tensor information for statistical analysis using the affine-invariant Riemannian metric for defining operations such as interpolation and averaging on tensors. Furtheremore, the results of tractography are used to provide a reference coordinate system the respresents the underlying structure of fiber bundles. The tract modeling framework includes a model both of the geometry of the fiber bundle and of the diffusion properties along the bundle. A new anisotropy measure called geodesic anisotropy (GA) is also included in the framework. | This project proposes a framework for quantitative analysis of DTI data. The framework uses the full tensor information for statistical analysis using the affine-invariant Riemannian metric for defining operations such as interpolation and averaging on tensors. Furtheremore, the results of tractography are used to provide a reference coordinate system the respresents the underlying structure of fiber bundles. The tract modeling framework includes a model both of the geometry of the fiber bundle and of the diffusion properties along the bundle. A new anisotropy measure called geodesic anisotropy (GA) is also included in the framework. | ||
− | + | = Description = | |
[[image:corouge_dti_statistics.jpg|thumb|320px|Fiber tracts colored with FA attributes]] | [[image:corouge_dti_statistics.jpg|thumb|320px|Fiber tracts colored with FA attributes]] | ||
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[[image:corouge-tract-analysis-flowchart.jpg|550px]] | [[image:corouge-tract-analysis-flowchart.jpg|550px]] | ||
− | + | = Publications = | |
− | + | = Key Investigators = | |
* UNC: Casey Goodlett | * UNC: Casey Goodlett | ||
− | + | = Links = | |
* [[Algorithm:UNC:DTI_Tract_Statistics_Workflow | Tract statistics user workflow]] | * [[Algorithm:UNC:DTI_Tract_Statistics_Workflow | Tract statistics user workflow]] | ||
Project Week Results: [[media:namic-tractanalysis.ppt|Jun 2005]] | Project Week Results: [[media:namic-tractanalysis.ppt|Jun 2005]] |
Revision as of 20:38, 21 September 2007
Home < Projects:DTIQuantitativeTractAnalysisBack to NA-MIC_Collaborations, UNC Algorithms
DTI Quantitative Tract Analysis
This project proposes a framework for quantitative analysis of DTI data. The framework uses the full tensor information for statistical analysis using the affine-invariant Riemannian metric for defining operations such as interpolation and averaging on tensors. Furtheremore, the results of tractography are used to provide a reference coordinate system the respresents the underlying structure of fiber bundles. The tract modeling framework includes a model both of the geometry of the fiber bundle and of the diffusion properties along the bundle. A new anisotropy measure called geodesic anisotropy (GA) is also included in the framework.
Description
Publications
Key Investigators
- UNC: Casey Goodlett
Links
Project Week Results: Jun 2005