German Cancer Research Center (DKFZ) BSD/MIT-Style Open Source License Yes Division of Medical Image Computing NITRC MITK Diffusion Linux, Windows, MacOS, OS Independent Yes C++ Peter Neher 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 Division [https://www.dkfz.de/en/mic/index.php Medical Image Computing] at the German Cancer Research Center (dkfz). Features & Highlights - Support for most established image formats, such as DICOM, NIFTI, and NRRD - Tensor and Q-ball reconstruction - Intravoxel Incoherent Motion (IVIM) analysis - Fiber tractography and fiber processing -- Global tractography -- Interactive peak, ODF and tensor streamline tractography -- Machine learning based tractography - Brain network statistics and visualization (connectomics) - Fiberfox: simulation of diffusion-weighted MR images - Command line tools for most functionalities 2019-7-04 4 - Beta Nightly installer MITK Diffusion Connectivity Analysis, Quantification, Segmentation, Visualization, Fiber Tracking, Modeling, 4 - Beta, MR, Clinical Neuroinformatics, Computational Neuroscience, Developers, End Users, Other Audience, BSD/MIT-Style Open Source License, English, Linux, Windows, MacOS, OS Independent, C++, Nrrd, NIfTI-1, Other Format, DICOM, Image Reconstruction, Algorithm or Reusable Library http://www.nitrc.org/projects/mitk-diffusion/, http://https://github.com/MIC-DKFZ/MITK-Diffusion pneher@gmail.com