What is 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.
DIPY is easy to install:
Available on many operating systems
Reconstruction
Single Shell: DTI, CSA, SFM, SDT, Q-Ball, CSD, ...
Multi-Shell: GQI, DTI, DKI, SHORE, MAPMRI, MSMT-CSD, ...
Registration
Visualization
Announcements
DIPY 1.4.0 released March 13, 2021.
DIPY 1.3.0 released November 3, 2020.
DIPY 1.2.0 released September 9, 2020.
See some of our Past Announcements
Highlights
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.
Tweets
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 |
Cite Us !
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.
Sponsors
