DiffusionImaging

MITK-DiffusionApp [PRE-RELEASE]

Future links are written in italics and will be accessible after the application release.

direct link to source code

direct link to download section

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The MITK-Diffusion application offers a selection of image analysis algorithms for the processing of diffusion-weighted MR images. It encompasses the research of the Neuroimaging Group in the Division Medical and Biological Informatics at the German Cancer Research Center (dkfz).

#!wiki caution
'''Features & Highlights'''

 * Tensor and q-ball reconstruction
 * Glyph visualization
 * Quantification and partial volume clustering of tensor and q-ball images
 * Global fiber tractography, visualization, and tract post-processing
 * Brain network statistics and visualization (connectomics)
 * Interactive exploration of Tract-based spatial statistics (TBSS) results 
 * Intra-voxel incoherent motion (IVIM) estimation

The MITK-Diffusion application is based on the MITK research platform and the most of it is open-source. Solely the tract-based spatial statistics viewer and the brain network statistics module were not released yet, mainly due to some major internal changes expected in the near future. The available code is embedded into the source code of MITK as a module and can be accessed through the public git repository.

User manual

You can access the MITK-Diffusion online documentation here

You can download the MITK-Diffusion information brochure here

Media

Publication: MITK-DI - A new diffusion imaging component for MITK. In Deserno TM, Handels H, Meinzer HP, Tolxdorff T (eds). Bildverarbeitung für die Medizin 2010. Heidelberg: Springer (2010) 246-250 <
> Authors: Fritzsche KH¹, Meinzer H-P¹<
> Institution: ¹German Cancer Research Institute

Downloads

Version 1.0 ( Release data: TBA )

• Windows
  • x86_installer
  • x64_installer
• Linux
  • x86
  • x86_64
• Mac OS X
  • universal dmg

Contact

If you have questions about the application or if you would like to give us feedback, don't hesitate to contact us.