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 1.4.1 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

Fri Jul 23

RT @garyfallidis: Just learned that Slicer3D (@slicer3d) users can install DIPY (@dipymri ) using slicer.util.pip_install("dipy"). ūüėć More‚Ķ

Fri Jul 23

RT @arokem: This is such an amazing resource! Hours of video lectures on almost all aspects of diffusion MRI, with everything from classic…

Fri Jul 23

RT @jennifer_mcnab: I continue to be impressed with the tool chest that the DIPY community has amassed and their highly effective dissemina…

Thu Jul 22

Credits go to all the 23 speakers (18 DIPY + 5 Guests) that helped create this courseūüöÄ Do not miss out on this gold‚Ķ https://t.co/XVh080M8tV

Thu Jul 22

Topics include: ✅dMRI Basics ✅Microstructure Modeling ✅Denoising ✅Tractometry ✅Advanced Multidimensional Diffusion… https://t.co/P0EXpcYr6E

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