Open Workflows (Keynote): Dmipy: Diffusion Microstructructure Imaging in Python Made Easy

[jsheunis]

Dmipy: Diffusion Microstructructure Imaging in Python Made Easy

By Rutger Fick, TheraPanacea

• Theme: Open Workflows
• Format: Keynote

Abstract

Rutger Fick, Matteo Frigo, Sara Sedlar, Rachid Deriche

The Diffusion Microstructure Imaging in Python (Dmipy) toolbox is a framework that abstracts the problems of both estimating microstructure features via diffusion MRI (dMRI) and simulating dMRI signals with a given microstructural composition with a building-blocks philosophy. Thanks to that, Dmipy allows to design, implement and fit a wide spectrum of dMRI microstructure models on data acquired with the PGSE sequence with several optimizer in typically less than 10 lines of code. This allows the researchers to easily design and use the model that is right for their study and needs, instead of being constrained to the models that were hard-coded in other previous works. In this talk we will go over Dmipy’s philosophy and how it revolutionizes the way we can look at dMRI multi-compartment modeling in the future. Using Dmipy, researchers can focus on the high-level design of a model and its interpretability in relation to the considered hypotheses, embracing the open method side of open science.

Useful Links

https://github.com/AthenaEPI/dmipy https://www.frontiersin.org/articles/10.3389/fninf.2019.00064/full

Tagging @rutgerfick

[matteofrigo]

Complete list of authors and affiliations:

• Rutger Fick, Therapanace, Paris, France;
• Matteo Frigo, Athena Project-Team, Inria Sophia Antipolis - Méditerranée, Université Côte d'Azur, Nice, France;
• Sara Sedlar, Athena Project-Team, Inria Sophia Antipolis - Méditerranée, Université Côte d'Azur, Nice, France;
• Rachid Deriche, Athena Project-Team, Inria Sophia Antipolis - Méditerranée, Université Côte d'Azur, Nice, France;