μGUIDE

Documentation

This is the official implementation of μGUIDE presented in https://arxiv.org/abs/2312.17293. To cite it, please use:

@misc{jallais2023muguide,
      title={$\mu$GUIDE: a framework for microstructure imaging via generalized uncertainty-driven inference using deep learning}, 
      author={Maëliss Jallais and Marco Palombo},
      year={2023},
      eprint={2312.17293},
      archivePrefix={arXiv},
      primaryClass={eess.IV}
}

μGUIDE is a Python library for efficiently estimating posterior distributions of microstructure parameters from diffusion MRI signals.

Installation

To get started, install μGUIDE on your machine via pip:

1. We recommend to use a conda virtual environment. If conda is installed on your machine, an environment for installing μGUIDE can be created as follows:

conda create -n uGUIDE_env python=3.8 && conda activate uGUIDE_env

2. Fork the repository and run the following command to clone it on your local machine:

git clone [email protected]:{YOUR_GITHUB_USERNAME}/uGUIDE.git

3. cd to μGUIDE directory and install it:

cd uGUIDE
pip install .

This will also install the dependencies of μGUIDE.

4. To check if the installation worked fine, you can do:

python -c 'import uGUIDE'

and it should not give any error message.

Visit μGUIDE documentation for more information.

Cite

If you use μGUIDE, please cite:

@misc{jallais2023muguide,
      title={$\mu$GUIDE: a framework for microstructure imaging via generalized uncertainty-driven inference using deep learning}, 
      author={Maëliss Jallais and Marco Palombo},
      year={2023},
      eprint={2312.17293},
      archivePrefix={arXiv},
      primaryClass={eess.IV}
}

Further links

• https://arxiv.org/abs/2312.17293