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.
Available on many operating systems
Single Shell: DTI, CSA, SFM, SDT, Q-Ball, CSD, ...
Multi-Shell: GQI, DTI, DKI, SHORE, MAPMRI, MSMT-CSD, ...
DIPY 1.6.0 released January 16, 2023.
DIPY 1.5.0 released March 11, 2022.
DIPY 1.4.1 released May 6, 2021.
See some of our Past Announcements
DIPY 1.6.0 is now available. New features include:
NF: Unbiased groupwise linear bundle registration added.
NF: MAP+ constraints added.
Generalized PCA to less than 3 spatial dims.
Add positivity constraints to QTI.
Ability to apply Symmetric Diffeomorphic Registration to points/streamlines.
New Human Connectome Project (HCP) data fetcher added.
New Healthy Brain Network (HBN) data fetcher added.
Multiple Workflows updated (DTIFlow, LPCAFlow, MPPCA) and added (RUMBAFlow).
Ability to handle VTP files.
Large codebase cleaning.
Large documentation update.
Closed 75 issues and merged 41 pull requests.
See Older Highlights.
Thu Mar 23 |
🏛️Learn about BundleWarp, a novel method developed by @BramshQ for nonrigid registration of tracts. The method outp… https://t.co/W4aXy4u2as |
Mon Mar 13 |
Congratulations to our Founder, Prof. @Garyfallidis for receiving the 2023 Luddy Faculty Recognition Award! 🏆 @IUBloomington ! |
Tue Mar 07 |
RT @get_user_data: Thanks to great help from @ShreyasSF and @garyfallidis we are presenting my first ever skull stripping model, EVAC+ in I… |
Tue Mar 07 |
RT @ShreyasSF: Congratulations @get_user_data !! 1st time submitting to @ISMRM and getting an #oral presentation for his excellent work on… |
Fri Mar 03 |
For this release the DIPY team closed a total of 116 issues, 41 pull requests and 75 regular issues !! Always impro… https://t.co/RmPd92DyKa |
Garyfallidis E, Brett M, Amirbekian B, Rokem A, van der Walt S, Descoteaux M, Nimmo-Smith I and Dipy Contributors (2014). DIPY, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, vol.8, no.8.