Difference between revisions of "DiffusionImaging"
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'''Future links are written in ''italics'' and will be accessible after the application release.''' | '''Future links are written in ''italics'' and will be accessible after the application release.''' | ||
− | [ | + | [http://www.mitk.org/wiki/MitkGit direct link to source code] |
− | + | [[#Downloads|direct link to download section]] | |
+ | [[Media:DiffusionImaging$MITK_DIsmall.png|DI_App|Icon|align="right"]] | ||
− | + | 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 [http://www.dkfz.de/en/mbi/projects/neuroimaging.html Neuroimaging Group] in the Division Medical and Biological Informatics at the German Cancer Research Center (dkfz). | |
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'''Features & Highlights''' | '''Features & Highlights''' | ||
− | * | + | * Tensor and q-ball reconstruction |
− | * | + | * Glyph visualization |
− | * Quantification and clustering of tensor and | + | * Quantification and partial volume clustering of tensor and q-ball images |
− | * | + | * Global fiber tractography, visualization, and tract post-processing |
− | * Brain network statistics and | + | * Brain network statistics and visualization (connectomics) |
− | * Tract-based spatial statistics | + | * Interactive exploration of Tract-based spatial statistics (TBSS) results |
+ | * Intra-voxel incoherent motion (IVIM) estimation | ||
</nowiki></pre> | </nowiki></pre> | ||
− | The MITK-Diffusion application is based on the [https://www.mitk.org/wiki/ResearchPlatform MITK research platform] and most of | + | The MITK-Diffusion application is based on the [https://www.mitk.org/wiki/ResearchPlatform 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 [https://www.mitk.org/wiki/MitkGit public git repository]. |
== User manual == | == User manual == | ||
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You can access the ''MITK-Diffusion online documentation here'' | You can access the ''MITK-Diffusion online documentation here'' | ||
Revision as of 10:15, 31 October 2011
MITK-DiffusionApp [PRE-RELEASE]
Future links are written in italics and will be accessible after the application release.
direct link to download section
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.