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
Tue Oct 13 |
Bundle Analytics aka BUAN, is a computational framework for investigating the shapes and profiles of brain pathways… https://t.co/IkjSSNQ12s |
Wed Oct 07 |
RT @johancarlin: 23-24 November we end the series with Rafel Neto Henriques' @RafaelNetoHenr1 workshop on diffusion MRI analysis with @dipy… |
Fri Oct 02 |
RT @openneurosci: @dipymri offers methods for spatial normalization, sig. processing, ML, statistical analysis & visualization of medical… |
Sat Sep 26 |
RT @dipymri: DIPY 1.2.0 is out! Thanks to all 110 contributors! New command-line interfaces for group analysis: BUAN. Added b-tensor encodi… |
Thu Sep 24 |
DIPY 1.2.0 is out! Thanks to all 110 contributors! New command-line interfaces for group analysis: BUAN. Added b-te… https://t.co/7JZnyzofDz |
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
