Notes:

Release Name: MITK Diffusion 2012-deleted-1575359339

Notes:

User manual

 

You can access the MITK Diffusion online documentation 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 Center    

 

Downloads

Version 2012 ( Release date: 07-05-2012 )

 

Requirements

Additional system specific requirements:

  • Windows
    • If you have problems running the Windows application, please install the Microsoft Redistributable Packages for VS 2008: [url=http://www.microsoft.com/download/en/details.aspx?amp;displaylang=en&id=5582]32 bit[/url] or [url=http://www.microsoft.com/download/en/details.aspx?amp;displaylang=en&id=2092]64 bit[/url]

  • Linux
    • the minimal OS version changed to Ubuntu 11.04 because the compiler version available in 10.04 does not provide features needed by MITK

    • the Qt framework, version 4.6.2 or later

Tested systems

  • Windows 7, Windows Vista
  • Ubuntu 11.04 and newer
  • OS X 10.6 (Snow Leopard), OS X 10.7 (Lion)

Testing data

A set of data for testing the functionality of the mitkDiffusion application is available here.

 

Contact

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


Changes:

Changelog

 

A list of the major changes from the 2011 to the 2012 release of MITK Diffusion.

Connectomics

Added global clustering computation

Added generator for synthetic networks

Fiber Processing

much more information about the selected fiber bundle is displayed

extraction of fibers passing through a 3D ROI (mitkSurface, STL mesh) is possible

fiber smoothing using spline interpolation added

fiber coloring by scalar map added

Gibbs Tracking

tracking results can be saved automatically

major bug that caused only few fibers to be reconstructed was fixed

input of gfa image is not needed anymore

Stochastic Tracking

gui completely refactored

mitkFiberBundleX

mitkFiberBundle is replaced by mitkFiberBundleX which is essentially a vtkPolyData which results in a much better performance and easier handling

fiber bundle are saved as vtkPolyData

old xml based fiber files can still be loaded and are automatically converted into the new mitkFiberBundleX

ODF Details

refactored gui

tensor data is displayed

normalization of the ODFs is applied correctly

Partial volume analysis

Export of clustering result as image is now possible

Preprocessing

the number of gradients of the selected image can be reduced while preserving an equal distribution of the gradients (as far as possible)

the gradient directions can be displayed as pointset

Q-Ball Reconstruction

removed erroneous numerical reconstruction method

Segmentation

fast interactive 3D interpolation added