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DIPY Diffusion Imaging Analysis

DIPY is a free and open source software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging.

Twitter https://twitter.com/dipymri
G+ http://bit.ly/dipymri

Execution Options

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Specifications

Category:

Algorithm or Reusable Library, Connectivity Analysis, Tensor Metric, Tractography, Rendering, Platform or Development Environment

License:

Diagnosis:

Depression, Epilepsy, Hypertension, Parkinson Disease

Domain:

Associations

is part of:

NIPY Community
NeuroDebian

can be run by:

brainlife.io
Nipype: NIPY Pipeline and Interfaces

is installed on:

NITRC Computational Environment (NITRC-CE)

works well with:

Recent Activity - Documents

PubMed Mentions documentation

Dipy, a library for the analysis of diffusion MRI data. posted by NITRC Moderator on May 22, 2021

PubMed Mentions documentation

Evaluating the accuracy of diffusion MRI models in white matter. posted by NITRC Moderator on Sep 21, 2019

PubMed Mentions documentation

Deterministic diffusion fiber tracking improved by quantitative anisotropy. posted by NITRC Moderator on Sep 21, 2019

PubMed Mentions documentation

The relation of structural integrity and task-related functional connectivity in the aging brain. posted by NITRC Moderator on Sep 21, 2019

PubMed Mentions documentation

Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization. posted by NITRC Moderator on Sep 21, 2019

PubMed Mentions documentation

ZOOM or Non-ZOOM? Assessing Spinal Cord Diffusion Tensor Imaging Protocols for Multi-Centre Studies. posted by NITRC Moderator on Sep 21, 2019

PubMed Mentions documentation

Optimal DSI reconstruction parameter recommendations: Better ODFs and better connectivity. posted by NITRC Moderator on Sep 21, 2019

PubMed Mentions documentation

Alignment of Tractograms As Graph Matching. posted by NITRC Moderator on Sep 21, 2019

PubMed Mentions documentation

A Novel Richardson-Lucy Model with Dictionary Basis and Spatial Regularization for Isolating Isotropic Signals. posted by NITRC Moderator on Sep 21, 2019

PubMed Mentions documentation

Improving the evaluation of cardiac function in rats at 7T with denoising filters: a comparison study. posted by NITRC Moderator on Sep 21, 2019