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.
Available on many operating systems
All Agorithms available via CLI
Create your Own
K-Fold cross validation
Single Shell: DTI, CSA, SFM, SDT, Q-Ball, CSD, ...
Multi-Shell: GQI, DTI, DKI, SHORE, MAPMRI, MSMT-CSD, ...
Diffeomorphic 2D/3D Registration
Streamlines based Registration
High resolution DWI
LPCA - MPPCA
Non Local Means
interactive tractogram visualization
Advanced UI and Shaders
DIPY 1.3.0 is now available. New features include:
Gibbs Ringing correction 10X faster.
Spherical harmonics basis definitions updated.
Added SMT2 metrics from mean signal diffusion kurtosis.
New interface functions added to the registration module.
New linear transform added to the registration module.
New tutorials for DIPY command line interfaces.
Fixed compatibility issues with different dependencies.
Tqdm (multiplatform progress bar for data downloading) dependency added.
Large documentation update.
Bundle section highlight from BUAN added in Horizon.
Closed 134 issues and merged 49 pull requests.
See Older Highlights.
Tue Nov 24
Tue Nov 24
RT @johancarlin: Thanks to @RafaelNetoHenr1 for concluding the pybrain workshop series with a great session on @dipymri. Videos to follow o…
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…
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.