Projects/Diffusion/Contrasting Tractography Measures

UNC

Overview

The UNC tractography measure methodology produces fiber bundles using a standard streamline tractography algorithm FiberTracking. The fiber bundles are attributed with tensor data at each point along the bundle. The user uses clustering and manual editing tools in FiberViewer to identify the fiber bundle and remove outliers. The user identifies an origin on the fiber bundle and computes statistics of the bundle as a function of arc-length along the bundle.

• Inputs
  • DWI or DTI
  • ROI for seed regions for tractography
• Outputs
  • Fiber bundle tracts (cleaned with FiberViewer)
  • Summary statistics of fiber bundle as function of arc length