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Name: DIPY

Type: Organization

Bio: Scientific computing software and community-driven medical imaging organization

Twitter: dipymri

Location: world

Blog: https://dipy.org/

DIPY [DIPYREF] is a python library for the analysis of MR diffusion imaging.

DIPY is for research only; please contact [email protected] if you plan to deploy in clinical settings.

Website

Current information can always be found from the DIPY website - http://dipy.org

Mailing Lists

Please see the DIPY community list at https://mail.python.org/mailman3/lists/dipy.python.org/

Please see the users' forum at https://github.com/dipy/dipy/discussions

Please join the gitter chatroom here.

Code

You can find our sources and single-click downloads:

Main repository on Github.
Documentation for all releases and current development tree.
Download as a tar/zip file the current trunk.

Installing DIPY

DIPY can be installed using `pip`:

pip install dipy

or using `conda`:

conda install -c conda-forge dipy

For detailed installation instructions, including instructions for installing from source, please read our installation documentation.

Python versions and dependencies

DIPY follows the Scientific Python SPEC 0 — Minimum Supported Versions recommendation as closely as possible, including the supported Python and dependencies versions.

Further information can be found in Toolchain Roadmap.

License

DIPY is licensed under the terms of the BSD license. Please see the LICENSE file.

Contributing

We welcome contributions from the community. Please read our Contributing guidelines.

Reference

DIPYREF

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.

DIPY's Projects

bl_apps_dipy_denoise_lpca

Brainlife wrapper app for dipy_denoise_lpca workflows.

bl_apps_dipy_denoise_mppca

Brainlife wrapper app for dipy_denoise_mppca workflows.

bl_apps_dipy_denoise_nlmeans

Brainlife wrapper app for dipy_denoise_nlmeans workflows.

bl_apps_dipy_fit_csa

Brainlife wrapper app for dipy_fit_csa workflows

bl_apps_dipy_fit_csd

Brainlife wrapper app for dipy_fit_csd workflows.

bl_apps_dipy_fit_dki

Brainlife wrapper app for dipy_fit_dki workflows. Fit a Diffusion Kurtosis Imaging model to multishell Diffusion-weighted data

bl_apps_dipy_fit_dti

Brainlife wrapper app for dipy_fit_dti workflows.

bl_apps_dipy_fit_ivim

Brainlife wrapper app for dipy_fit_ivim workflows.

bl_apps_dipy_fit_mapmri

Brainlife wrapper app for dipy_fit_mapmri workflows.

bl_apps_dipy_gibbs_ringing

Brainlife wrapper app for dipy_gibbs_ringing workflows.

bl_apps_dipy_info

Brainlife wrapper app for dipy_info workflows.

bl_apps_dipy_mask

Brainlife wrapper app for dipy_mask workflows.

bl_apps_dipy_median_otsu

Brainlife wrapper app for dipy_median_otsu workflows.

bl_apps_dipy_recobundles

Brainlife wrapper app for dipy_recobundles workflows.

bl_apps_dipy_reslice

Brainlife wrapper app for dipy_reslice workflows.

bl_apps_dipy_slr

Brainlife wrapper app for dipy_slr workflows.

bl_apps_dipy_track

Brainlife wrapper app for dipy_track workflows.

bl_apps_dipy_track_pft

Brainlife wrapper app for dipy_track_pft workflows.

cookiecutter-bl-dipy-apps

Cookiecutter to generate brainlife apps for dipy

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.