We are excited to announce a new release of Diffusion Imaging in Python (DIPY).
If you use DIPY in your research, please cite us using the following DOI: 10.3389/fninf.2014.00008 https://www.ncbi.nlm.nih.gov/pubmed/24600385
DIPY 0.16 (Monday, 10 March 2019)
This release received contributions from 14 developers (the full release notes are at: http://dipy.org/release0.16.html http://nipy.org/dipy/release0.16.html). Thank you for your contributions and feedback!
Highlights of this release include:
Horizon, medical visualization interface powered by QuickBundlesX. -
New Tractometry tools: Bundle Analysis / Bundle Profiles. -
New reconstruction model: IVIM MIX (Variable Projection). -
New command line interface: Affine and Diffeomorphic Registration. -
New command line interface: Probabilistic, Deterministic and PFT Tracking. -
Integration of Cython Guidelines for developers. -
Replacement of Nose by Pytest. -
Documentation update. -
Closed 103 issues and merged 41 pull requests.
DIPY 0.16.0 will be the last version to support Python 2. The next release, DIPY 1.0.0, will support Python 3 only.
To upgrade or install http://dipy.org/release0.10.html DIPY
Run the following command in your terminal: http://dipy.org/release0.10.html
pip install --upgrade dipy
conda install -c conda-forge dipy
This version of DIPY depends on nibabel (2.3.0+).
Questions or suggestions?
We also have an instant messaging service and chat room available at https://gitter.im/nipy/dipy
On behalf of the DIPY developers,
Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro