DIPY is the paragon 3D/4D+ 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.
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DIPY [DIPYREF]_ is a python library for the analysis of MR diffusion imaging.
DIPY is for research only; please do not use results from DIPY for clinical decisions.
Current information can always be found from the DIPY website - http://dipy.org
Please see the developers' list at https://mail.python.org/mailman/listinfo/neuroimaging
Please see the users' forum at https://neurostars.org/tags/dipy
Please join the gitter chatroom
You can find our sources and single-click downloads:
Main repository_ on Github.
.. _main repository: http://github.com/dipy/dipy .. _Documentation: http://dipy.org .. _current trunk: http://github.com/dipy/dipy/archives/master
DIPY can be installed using
pip install dipy
conda install -c conda-forge dipy
For detailed installation instructions, including instructions for installing from source, please read our
DIPY is licensed under the terms of the BSD license. Please see the
We welcome contributions from the community. Please read our
.. [DIPYREF] E. Garyfallidis, M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, I. Nimmo-Smith and DIPY contributors, "DIPY, a library for the analysis of diffusion MRI data", Frontiers in Neuroinformatics, vol. 8, p. 8, Frontiers, 2014.