neuroflow-yalab 0.1.7

NeuroFlow: A streamlined toolkit for DWI post-processing, offering advanced analysis and visualization for neuroimaging research.

Overview

docs
tests, CI & coverage
version
styling
license

NeuroFlow: A streamlined toolkit for DWI post-processing, offering advanced analysis and visualization for neuroimaging research.

• Free software: MIT license

• Documentation: https://neuroflow.readthedocs.io.

Features

• Estimation of tensor derivatives (FA, MD, AD, RD, etc.) using either MRtrix3 or DIPY.

• Registration of numerous volumetric parcellation atlases to subjects’ native T1w and DWI images.

• Estimation of numerous distribution metrices (e.g. mean, median, IQR-mean, etc.) of diffusion metrics within each parcellation unit.

• Automatic extraction of available covariates originating from different sources (demographics, temporal, environmental).

• Quality control of the preprocessing of the diffusion MRI data.

Usage

Basic Usage

$ neuroflow process <input_dir> <output_dir> <google_credentials>

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.