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Dmipy: An Open-source Framework for Reproducible dMRI-Based Microstructure Research

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.

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  • 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. UniversitĂ© CĂ´te d'Azur (2017)

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