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 1.4.1 is now available. New features include:

  • Patch2Self and its documentation updated.

  • BUAN and Recobundles documentation updated.

  • Standardization and improvement of the multiprocessing / multithreading rules.

  • Community and governance information added.

  • New surface seeding module for tractography named mesh.

  • Large update of Cython code in respect of the last standard.

  • Large documentation update.

  • Closed 61 issues and merged 28 pull requests.

See Older Highlights.

Tweets

Thu Apr 29

RT @johancarlin: Did you miss Rafael Henriques' PYBRAIN workshop on diffusion MRI in python with @dipymri? The video is below. Thanks again…

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…

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