Hello all!,
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.
Note:
-
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
or
conda install -c conda-forge dipy
This version of DIPY depends on nibabel (2.3.0+).
Questions or suggestions?
For any questions go to http://dipy.org, or send an e-mail to
dipy@python.org