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
Pre-Processing
Registration
Reconstruction
Single Shell: DTI, CSD, SDT, SFM, Q-Ball CSA...
Multi Shell: GQI, DTI, DKI, SHORE and MAPMRI...
Tractography
Tissue Classification
Many tracking algorithms
Apply different operations on streamlines
Simplify large datasets via streamlines clustering.
Calculate distances/correspondences between streamlines.
Visualization
Simple interactive visualization of ODFs
Streamlines interactive visualization
Advanced widget
Command Line Interfaces
Announcements
DIPY 1.2.0 released September 9, 2020.
DIPY 1.1.1 released January 10, 2020.
DIPY 1.0 released August 5, 2019.
See some of our Past Announcements
Highlights
DIPY 1.2.0 is now available. New features include:
New command line interfaces for group analysis: BUAN.
Added b-tensor encoding for gradient table.
Better support for single shell or multi-shell response functions.
Stats module refactored.
Numpy minimum version is 1.2.0.
Fixed compatibilities with FURY 0.6+, VTK9+, CVXPY 1.1+.
Added multiple tutorials for DIPY command line interfaces.
Updated SH basis convention.
Improved performance of tissue classification.
Fixed a memory overlap bug (multi_median).
Large documentation update (typography / references).
Closed 256 issues and merged 94 pull requests.
See Older Highlights.
Tweets
Thu Sep 10 |
RT @arokem: If you use DIPY in your research or learning, we would REALLY appreciate your input on this survey. It will help us direct our… |
Thu Sep 10 |
RT @dipymri: Hello @dipymri community! We are looking to get feedback for future directions and would love your opinions/ suggestions as th… |
Thu Sep 10 |
Hello @dipymri community! We are looking to get feedback for future directions and would love your opinions/ sugges… https://t.co/DkWKPdSBUh |
Sat Jun 06 |
RT @arokem: @patrickmineault @figshare works well for this, giving you a permanent URL you can wget from. We use that all the time in @dipy… |
Mon May 25 |
RT @arokem: @Tomdonoghue There's a list of these in the @dipymri docs: https://t.co/4TcVKF8z0E, originally formulated by Matthew Brett and… |
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
