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

Command-Line Interfaces

All Algorithms available via CLI

Create your Own

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Statistical Analysis

BUAN

AFQ

K-Fold cross validation

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Reconstruction

Single Shell: DTI, CSA, SFM, SDT, Q-Ball, CSD, ...

Multi-Shell: GQI, DTI, DKI, SHORE, MAPMRI, MSMT-CSD, ...

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Registration

Affine Registration

Diffeomorphic 2D/3D Registration

Streamlines based Registration

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Tractography

Probabilistic Tracking

Deterministic Tracking

PFT Tracking

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Datasets

HCP Tractogram

CFIN Datasets

High resolution DWI

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Denoising

Patch2self

Gibbs Unringing

LPCA - MPPCA

Non Local Means

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Visualization

ODFs visualization

interactive tractogram visualization

Advanced UI and Shaders

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Pre-Processing

Brain extraction

SNR estimation

Reslice Datasets

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Announcements


See some of our Past Announcements

Highlights


DIPY 1.6.0 is now available. New features include:

  • NF: Unbiased groupwise linear bundle registration added.

  • NF: MAP+ constraints added.

  • Generalized PCA to less than 3 spatial dims.

  • Add positivity constraints to QTI.

  • Ability to apply Symmetric Diffeomorphic Registration to points/streamlines.

  • New Human Connectome Project (HCP) data fetcher added.

  • New Healthy Brain Network (HBN) data fetcher added.

  • Multiple Workflows updated (DTIFlow, LPCAFlow, MPPCA) and added (RUMBAFlow).

  • Ability to handle VTP files.

  • Large codebase cleaning.

  • Large documentation update.

  • Closed 75 issues and merged 41 pull requests.

See Older Highlights.

Tweets

Thu Mar 23

🏛️Learn about BundleWarp, a novel method developed by @BramshQ for nonrigid registration of tracts. The method outp… https://t.co/W4aXy4u2as

Mon Mar 13

Congratulations to our Founder, Prof. @Garyfallidis for receiving the 2023 Luddy Faculty Recognition Award! 🏆 @IUBloomington !

Tue Mar 07

RT @get_user_data: Thanks to great help from @ShreyasSF and @garyfallidis we are presenting my first ever skull stripping model, EVAC+ in I…

Tue Mar 07

RT @ShreyasSF: Congratulations @get_user_data !! 1st time submitting to @ISMRM and getting an #oral presentation for his excellent work on…

Fri Mar 03

For this release the DIPY team closed a total of 116 issues, 41 pull requests and 75 regular issues !! Always impro… https://t.co/RmPd92DyKa

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


DIPY - NIH / NIBIB
DIPY - Indiana University
DIPY - GSOC
IU
DIPY - EWU