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
All Agorithms available via CLI
Create your Own
K-Fold cross validation
Single Shell: DTI, CSA, SFM, SDT, Q-Ball, CSD, ...
Multi-Shell: GQI, DTI, DKI, SHORE, MAPMRI, MSMT-CSD, ...
Diffeomorphic 2D/3D Registration
Streamlines based Registration
High resolution DWI
LPCA - MPPCA
Non Local Means
interactive tractogram visualization
Advanced UI and Shaders
DIPY 1.4.0 is now available. New features include:
New self-supervised denoising algorithm Patch2Self added.
BUAN and RecoBundles documentation updated.
Response function refactored and clarified.
B-tensor allowed with response functions.
Large Command Line Interface (CLI) documentation updated.
Public API for Registration added.
Large documentation update.
Closed 47 issues and merged 19 pull requests.
See Older Highlights.
Mon Apr 12
RT @DamascenoPF: Extremely cool collaboration between @UCSF_Ci2 @nvidia and @dipymri Excited to see the impact on clinical care. w/ @aroke…
Sun Apr 04
RT @omarelsherif010: Thanks @dipymri for creating DIPY workshop 2021 as it really helped me to enter a new world. Two months ago, I was str…
Mon Mar 29
RT @bacaronIU: i have too much fun with @dipymri sometimes... https://t.co/Nkvwt5m63R
Sat Mar 20
RT @skoudoro: 5 days of Workshop @dipymri 10 days only of open registrations 477 attendees 60 videos = 873.55 min 23 speakers 10h of Q&A…
Thu Mar 18
Big day of Tractometry today at #dipyworkshop2021 with Bundle Analytics! 🍾🤩Watch the wonderful talks and join us fo… https://t.co/nJl7Au4vLs
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.