Software Open Access
Rutger Fick; Rachid Deriche; Demian Wassermann
First citeable release of the Diffusion Microstructure Imaging in Python (Dmipy) software framework. Dmipy facilitates the reproducible estimation of diffusion MRI-based microstructure features. It does this by taking a completely modular approach to Microstructure Imaging. Using Dmipy you can design, fit, and recover the parameters of any multi-compartment microstructure model in usually less than 10 lines of code. Created models can be used to simulate and fit data for any PGSE-based dMRI acquisition, including single shell, multi-shell, multi-diffusion time and multi-TE acquisition schemes.
Rutger Fick, Demian Wassermann and Rachid Deriche. Mipy: An Open-Source Framework to improve reproducibility in Brain Microstructure Imaging. Human Brain Mapping (2018)
Rutger Fick. Advanced dMRI signal modeling for tissue microstructure characterization. PhD Thesis. Université Côte d'Azur (2017)