Projects:DTIQuantitativeTractAnalysis

DTI Quantitative Tract Analysis

Back to NA-MIC_Collaborations, UNC Algorithms

Objectives

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.

Progress

Fiber tracts colored with FA attributes

References

Key Investigators

• UNC: Casey Goodlett

Links

• Tract statistics user workflow

Project Week Results: Jun 2005