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 1.3.0 released November 3, 2020.
DIPY 1.2.0 released September 9, 2020.
DIPY 1.1.1 released January 10, 2020.
See some of our Past Announcements
Highlights
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.
Tweets
Tue Nov 24 |
Thank you all for joining our open meeting to hear about BUAN https://t.co/mclizpZQ2M. For those who missed it a re… https://t.co/qerIYJHRB6 |
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… |
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
