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 1.5.0 released March 11, 2022.
DIPY 1.4.1 released May 6, 2021.
DIPY 1.4.0 released March 13, 2021.
See some of our Past Announcements
Highlights
DIPY 1.5.0 is now available. New features include:
New reconstruction model added: Q-space Trajectory Imaging (QTI).
New reconstruction model added: Robust and Unbiased Model-BAsed Spherical Deconvolution (RUMBA-SD).
New reconstruction model added: Residual block Deep Neural Network (ResDNN).
Masking management in Affine Registration added.
Multiple Workflows updated (DTIFlow, DKIFlow, ImageRegistrationFlow) and added (MotionCorrectionFlow).
Compatibility with Python 3.10 added.
Migrations from Azure Pipeline to Github Actions.
Large codebase cleaning.
New parallelisation module added.
dipy.io.bvectxtmodule deprecated.New DIPY Horizon features (ROI Visualizer, random colors flag).
Large documentation update.
Closed 129 issues and merged 72 pull requests.
See Older Highlights.
Tweets
Wed Apr 20 |
📢Dr. Rachel Barrett (@RachelLCBarrett) from @KingsCollegeLon will be presenting on the topic of 🚨Diffusion MRI vs P… https://t.co/xEDJpFgupa |
Wed Apr 13 |
RT @JuanHig27819468: @pythoneuro @dipymri @garyfallidis I love Dipy 🥰 |
Wed Apr 13 |
RT @pythoneuro: DIPY @dipymri is a python library for the analysis of MR diffusion imaging. @garyfallidis #Python #neuroscience #OpenScienc… |
Fri Mar 25 |
RT @CieslakMatt: Anyone interested in hearing about QSIPrep, there will be a talk today and a Q&A/demo this afternoon! Stop by with questio… |
Fri Mar 25 |
📢Do not miss the #DeepLearning + non-rigid #registration talks today and the #live keynote session by @CieslakMatt… https://t.co/3WX69b44Pw |
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
