Welcome to the Sherbrooke Connectivity Imaging Lab (SCIL) and Videos & Images Theory and Analytics Laboratory (VITAL) joint DWI_ML toolkit !

• Getting started: installation and download
• Contribute/Submit a patch
• Issue tracking

DWI_ML is a toolkit for Diffusion Magnetic Resonance Imaging (dMRI) analysis using machine learning and deep learning methods. It is mostly focused on the tractography derivatives of dMRI.

Here is the usual workflow for people using dwi_ml:

1. Organize your data. If your data is organized as expected, the following steps will be much easier.
2. Preprocess your data.
   • Preprocess your diffusion data using Tractoflow
   • Preprocess your tractogram using RecoBundlesX
3. Create your own project with DWI_ML.
   • Create your own repository for your project.
   • Copy our scripts from please_copy_and_adapt. Adapt based on your needs.
   • Train your ML algorithm
   • If needed, create your tracking algorithm based on your results.

DWI_ML is licensed under the terms of the MIT license. Please see LICENSE file.

If you use DWI_ML in your dMRI data analysis, please cite the toolkit and provide a link to it.