A quick overview of features
Here are just a few of the state-of-the-art technologies and algorithms which are provided in Dipy:
- Reconstruction algorithms e.g. DSI, GQI, DTI, QBI.
- Fiber tracking algorithms e.g. Deterministic, Probabilistic.
- Simple interactive visualization of ODFs and streamlines.
- Apply different operations on streamlines.
- Simplify large datasets of streamlines using QuickBundles clustering.
- Reslice datasets with anisotropic voxels to isotropic.
- Calculate distances/correspondences between streamlines.
- Deal with huge tractographies without memory restrictions (.dpy).
With the help of some external tools you can also:
- Warp/Register tractographies into another space e.g. MNI space (with nipy or
fsl).
- Read many different file formats e.g. Trackvis or Nifti (with nibabel).
- Examine your datasets interactively (with ipython).
For a full list of the features implemented in the most recent release cycle, check out the release notes
Systems supported
Dipy is multiplatform and will run under any standard operating systems such
as Windows, Linux and Mac OS X. Every single new code addition is being tested on
a number of different builbots and can be monitored online here.