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 Agorithms 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 1.4.0 is now available. New features include:

  • New self-supervised denoising algorithm Patch2Self added.

  • BUAN and RecoBundles documentation updated.

  • Response function refactored and clarified.

  • B-tensor allowed with response functions.

  • Large Command Line Interface (CLI) documentation updated.

  • Public API for Registration added.

  • Large documentation update.

  • Closed 47 issues and merged 19 pull requests.

See Older Highlights.

Tweets

Mon Apr 12

RT @DamascenoPF: Extremely cool collaboration between @UCSF_Ci2 @nvidia and @dipymri Excited to see the impact on clinical care. w/ @aroke…

Sun Apr 04

RT @omarelsherif010: Thanks @dipymri for creating DIPY workshop 2021 as it really helped me to enter a new world. Two months ago, I was str…

Mon Mar 29

RT @bacaronIU: i have too much fun with @dipymri sometimes... https://t.co/Nkvwt5m63R

Sat Mar 20

RT @skoudoro: 5 days of Workshop @dipymri 10 days only of open registrations 477 attendees 60 videos = 873.55 min 23 speakers 10h of Q&A…

Thu Mar 18

Big day of Tractometry today at #dipyworkshop2021 with Bundle Analytics! 🍾🤩Watch the wonderful talks and join us fo… https://t.co/nJl7Au4vLs

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