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dipy

DIPY is the paragon 3D/4D+ medical 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.

qsiprep

Preprocessing of diffusion MRI

nlsam

Implementation of "Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising"

qsiprep-container

Preprocessing of diffusion MRI

ivimnet

Physics-informed deep learning IVIM model

pipetography

Nipype and tractography!

autodmri

Automated characterization of noise distributions in diffusion MRI data

dmipy

The open source toolbox for reproducible diffusion MRI-based microstructure estimation

eddymotion

Open-source eddy-current and head-motion correction for dMRI.

dmriprep

dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

erwin

Toolbox to generate quantitative maps from MRI images

dpr

Diffusion profile realignment - Making your along-tract analysis reliable

dkmri

Reproducible and efficient diffusion kurtosis imaging in Python.

dvoryan

Reproducible and efficient diffusion kurtosis imaging in Python.

utracto

Package facilitating the tracking of sub-cortical U-Fibers

pydesigner-dwi

A hands-free DTI, DKI, FBI and FBWM preprocessing pipeline. Information on algorithms and preprocessing steps are available at https://www.biorxiv.org/content/10.1101/2021.10.20.465189v1 A video tutorial on PyDesigner and its usage is now available at https://www.youtube.com/watch?v=mChQFuQqX3k

disimpy

Massively parallel diffusion MR simulator

dkmri-win

Reproducible and efficient diffusion kurtosis imaging in Python.