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 1.4.1 released May 6, 2021.
DIPY 1.4.0 released March 13, 2021.
DIPY 1.3.0 released November 3, 2020.
See some of our Past Announcements
Highlights
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.
Tweets
Wed Dec 15 |
Feel free to join this hacking event and share a moment with us! We will be improving different features of the DIPā¦ https://t.co/n58ry6YDHA |
Fri Jul 23 |
RT @garyfallidis: Just learned that Slicer3D (@slicer3d) users can install DIPY (@dipymri ) using slicer.util.pip_install("dipy"). š Moreā¦ |
Fri Jul 23 |
RT @arokem: This is such an amazing resource! Hours of video lectures on almost all aspects of diffusion MRI, with everything from classicā¦ |
Fri Jul 23 |
RT @jennifer_mcnab: I continue to be impressed with the tool chest that the DIPY community has amassed and their highly effective disseminaā¦ |
Thu Jul 22 |
Credits go to all the 23 speakers (18 DIPY + 5 Guests) that helped create this courseš Do not miss out on this goldā¦ https://t.co/XVh080M8tV |
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
