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
Denoising : NLmeans, Local PCA
SNR estimation / Reslice Datasets
Streamlines based Registration
Diffeomorphic 2D/3D Registration
Single Shell: DTI, CSD, SDT, SFM, Q-Ball CSA...
Multi Shell: GQI, DTI, DKI, SHORE and MAPMRI...
Many tracking algorithms
Apply different operations on streamlines
Simplify large datasets via streamlines clustering.
Calculate distances/correspondences between streamlines.
Simple interactive visualization of ODFs
Streamlines interactive visualization
Many algorithms available via command line
Create your owns command line!
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.
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
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.