Difference between revisions of "DiffusionImaging"

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#REDIRECT [[MitkDiffusion]]
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= MITK-[[DiffusionApp]] =
 
 
 
[https://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).
 
 
 
 
 
<pre><nowiki>#!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
 
 
 
</nowiki></pre>
 
 
 
 
 
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 ==
 
You can access the MITK-Diffusion online documentation [http://mitk.org/download/releases/MITK-Diffusion-2011/documentation/html/index.html 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  <<BR>>
 
'''Authors:''' Fritzsche KH<sup>1</sup>, Meinzer H-P<sup>1</sup><<BR>>
 
'''Institution:''' <sup>1</sup>German Cancer Research Center
 
 
 
== Downloads ==
 
 
 
Version 2011 ( Release date: ''02-11-2011'' )
 
 
 
=== Requirements ===
 
 
 
Additional system specific requirements:
 
* Windows
 
** If you have problems running the Windows application, please install the Microsoft Redistributable Packages for VS 2008: [http://www.microsoft.com/download/en/details.aspx?amp;displaylang=en&id=5582 32 bit] or [http://www.microsoft.com/download/en/details.aspx?amp;displaylang=en&id=2092 64 bit]
 
* Linux
 
** the [http://qt.nokia.com/downloads Qt framework], version 4.6.2 or later
 
** the tar.gz archive needs to be extracted into a folder whithout whitespaces in the path
 
* OS X
 
** the [http://qt.nokia.com/downloads Qt framework], version 4.6.2 or later
 
 
 
Tested systems
 
* Windows 7, Windows Vista
 
* Ubuntu 10.04 and newer
 
* OS X 10.6 and newer
 
 
 
=== Available installer ===
 
 
 
* Windows
 
** [[ https://www.mitk.org/download/releases/MITK-Diffusion-2011/MITK-Diffusion-2011_Windows_32Bit.exe | MS Windows (32 bit) installer]]
 
** [[ https://www.mitk.org/download/releases/MITK-Diffusion-2011/MITK-Diffusion-2011_Windows_64Bit.exe | MS Windows (64 bit) installer]]
 
* Linux
 
** [https://www.mitk.org/download/releases/MITK-Diffusion-2011/MITK-Diffusion-2011_Ubunu_10.04_32Bit.tar.gz  Ubuntu (32 bit), tar.gz archive ]
 
** [https://www.mitk.org/download/releases/MITK-Diffusion-2011/MITK-Diffusion-2011_Ubunu_10.04_64Bit.tar.gz  Ubuntu (64 bit), tar.gz archive]
 
* Mac OS X
 
** [https://www.mitk.org/download/releases/MITK-Diffusion-2011/MITK-Diffusion-2011_OSX.dmg OS X disk image (.dmg)]
 
 
 
== Contact ==
 
 
 
If you have questions about the application or if you would like to give us feedback, don't hesitate to [http://www.dkfz.de/en/mbi/people/Klaus_Fritzsche.php contact us].
 

Latest revision as of 12:35, 24 August 2018

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