Difference between revisions of "Documentation/Nightly/Extensions/DTIProcess"

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Revision as of 14:53, 29 November 2012

Home < Documentation < Nightly < Extensions < DTIProcess

Introduction and Acknowledgements

Author: Casey Goodlett
Contributors: Aditya Gupta (NIRAL, University Of North Carolina), Clement Vachet (SCI Institute, University of Utah), Francois Budin (NIRAL, University of North Carolina), Guido Gerig (SCI Institute, University of Utah), Hans Johnson (University of Iowa), Martin Styner (NIRAL, University Of North Carolina), Sylvain Gouttard (SCI Institute, University of Utah), Yundi Shi (NIRAL, University of North Carolina), Zhexing Liu (NIRAL, University of North Carolina), Casey Goodlett (Kitware)
Contact: Francois Budin, <email>fbudin@unc.edu</email>
Website: http://www.nitrc.org/projects/dtiprocess/
License: BSD


Extension Description

DTIProcess is a DTI processing and analysis toolkit developed in UNC and University of Utah. Tools in this toolkit include:

  • dtiestim: tool that takes in a set of DWIs in nrrd format and estimates a tensor field out of it. It also has many useful options.
  • dtiprocess: tool that handles tensor fields
  • maxcurvature: computes Hessian of an image. Typically the input image is a Fractional Anisotropy (FA) image
  • dtiaverage (Should be used in a command line): program that allows to compute the average of an arbitrary number of tensor fields
  • fibertrack: program that implements a simple streamline tractography method based on the principal eigenvector of the tensor field
  • fiberprocess: tool that manage fiber files extracted from the fibertrack tool or any fiber tracking algorithm
  • fiberstats: program that prints out some statistics computed on a fiber bundle
  • A couple other tools that are included in the package and that are not CLI compatible

All the above software will appear in 3D Slicer in the module list under Diffusion>NIRALPipeline

Modules

Use Cases

Sample data to use with modules.

Similar Extensions

N/A

Information for Developers

More information as well as the source code can found on the project webpage: http://www.nitrc.org/projects/dtiprocess