Difference between revisions of "Projects:DTIQuantitativeTractAnalysis"
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| − | = Quantitative Tract Analysis = | + | Back to [[NA-MIC_Internal_Collaborations:DiffusionImageAnalysis|NA-MIC Collaborations]], [[Algorithm:UNC|UNC Algorithms]] |
| + | __NOTOC__ | ||
| + | = 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 = |
| − | [[media:namic-tractanalysis.ppt| | + | * [http://www.na-mic.org/pages/Special:Publications?text=Projects%3ADTIQuantitativeTractAnalysis&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database] |
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| + | = Key Investigators = | ||
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| + | * UNC Algorithms: Isabelle Corouge, Casey Goodlett, Guido Gerig | ||
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| + | = Links = | ||
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| + | * [[Algorithm:UNC:DTI_Tract_Statistics_Workflow | Tract statistics user workflow]] | ||
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| + | Project Week Results: [[media:namic-tractanalysis.ppt|Jun 2005]] | ||
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| + | [[Category: Statistics]] [[Category:Diffusion MRI]] | ||
Latest revision as of 18:19, 11 April 2008
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 Algorithms: Isabelle Corouge, Casey Goodlett, Guido Gerig
Links
Project Week Results: Jun 2005
