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 1.4.1 is now available. New features include:
Patch2Self and its documentation updated.
BUAN and Recobundles documentation updated.
Standardization and improvement of the multiprocessing / multithreading rules.
Community and governance information added.
New surface seeding module for tractography named mesh.
Large update of Cython code in respect of the last standard.
Large documentation update.
Closed 61 issues and merged 28 pull requests.
See Older Highlights.
Thu Apr 29
RT @johancarlin: Did you miss Rafael Henriques' PYBRAIN workshop on diffusion MRI in python with @dipymri? The video is below. Thanks again…
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…
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.