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 1.3.0 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


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