toolbox for analysis of MR diffusion imaging data

Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. It features:

  • Reconstruction algorithms, e.g. GQI, DTI
  • Tractography generation algorithms, e.g. EuDX
  • Intelligent downsampling of tracks
  • Ultra fast tractography clustering
  • Resampling datasets with anisotropic voxels to isotropic
  • Visualizing multiple brains simultaneously
  • Finding track correspondence between different brains
  • Warping tractographies into another space, e.g. MNI space
  • Reading many different file formats, e.g. Trackvis or NIfTI
  • Dealing with huge tractographies without memory restrictions
  • Playing with datasets interactively without storing

Related packages: python-dipy-doc, python-dipy-lib

Maintainer information

This software package is maintained for (Neuro)Debian by the follow individuals and/or groups:

Maintainer avatar
NeuroDebian Maintainers
Maintainer avatar
Yaroslav Halchenko
Maintainer avatar
Michael Hanke

In order to get support, or to get in touch with a maintainer, please click the ‘Help’ button at the top of the page.

Advanced user information

Version control system available: Browse sources

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 6.0 (squeeze)   0.6.0-1~nd60+1 i386, amd64, sparc
Debian GNU/Linux 7.0 (wheezy) 0.5.0-3 0.9.2-1~nd70+1 i386, amd64, sparc
Debian GNU/Linux 8.0 (jessie) 0.7.1-2 0.9.2-1~nd80+1 i386, amd64, sparc
Debian testing (stretch) 0.7.1-2 0.9.2-1~nd80+1+nd90+1 i386, amd64, sparc
Debian unstable (sid) 0.7.1-2 0.9.2-1~nd+1 i386, amd64, sparc
Ubuntu 10.04 LTS “Lucid Lynx” (lucid)   0.5.0-2~nd10.04+1 i386, amd64
Ubuntu 12.04 LTS “Precise Pangolin” (precise) 0.5.0-3 0.8.0-1~nd12.04+1 i386, amd64, sparc
Ubuntu 14.04 “Trusty Tahr” (trusty) 0.5.0-3 0.9.2-1~nd14.04+1 i386, amd64, sparc
Ubuntu 14.10 “Utopic Unicorn” (utopic) 0.5.0-3 0.9.2-1~nd14.10+1 i386, amd64, sparc
Ubuntu 15.04 “Vivid Vervet” (vivid) 0.7.1-2 0.9.2-1~nd14.10+1+nd15.04+1 i386, amd64, sparc
The source code for this portal is licensed under the GPL-3 and is available on GitHub.