Hello all, We are excited to announce a new release of DIPY (Diffusion Imaging in Python): DIPY 1.12.1 !
DIPY is a the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging. DIPY 1.12.1 (Friday, 23 April 2026) The full release notes are at: https://docs.dipy.org/stable/release_notes/release1.12.html. Thank you all for your contributions and feedback! Please click here <https://docs.dipy.org/stable/api_changes.html#dipy-1-12-0-changes> to check 1.12.1 API changes. Highlights of 1.12.1 release include: - NF: FORCE reconstruction model - NF: New BiasField correction method. - NF: Parallelization of EuDX tractography. - NF: Intermediate map for symmetric diffeomorphic registration. - NF: StatefulSurface class to handle surfaces. - NF: Multiple new workflows (dipy_fit_force, dipy_fit_msmtcsd, dipy_brain_mask, dipy_cluster_streamlines, dipy_fit_powermap, dipy_fit_fwdti). - ENH: Cythonization of multiple algorithms to improve performance. - RF: TRX as default file format for tractography outputs. - RF: Adoption of pathlib across workflows. - RF: Refactoring of NLmeans denoising (classic and blockwise variants). - Added support for Python 3.14 and drop support for Python 3.10. - Documentation update. - Closed 324 issues and merged 173 pull requests. 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 This version of DIPY depends on nibabel (3.0.0+). For visualization you need FURY (0.12.0+). Questions or suggestions? For any questions go to https://dipy.org, or send an e-mail to [email protected] Finally, a new forum is available at https://github.com/dipy/dipy/discussions Have a wonderful time using the new version. Please support us by citing DIPY in your papers using the following DOI: 10.3389/fninf.2014.00008 <https://www.ncbi.nlm.nih.gov/pubmed/24600385> On behalf of the DIPY developers, Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro https://dipy.org/contributors -- https://mail.python.org/mailman3//lists/python-list.python.org
