Toolboxes & Code Repositories

3D-muscle-segmentation

A python repository for Automated MRI quantification of volumetric per muscle fat-fractions in the proximal leg of patients with muscular dystrophies

software
Description:

This repository accompanies our paper: Huysmans et al., Automated MRI quantification of volumetric per muscle fat-fractions in the proximal leg of patients with muscular dystrophies, Frontiers in Neurology 2023. It provides the best performing low and high fat infiltration models accompanied with code to obtain a segmentation on a control case and an early-, intermediate- and end-stage patient. We have made use of the DeepVoxNet2 (DVN2) framework.

More Information:

  • Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).

  • Responsible Research Lead: Frederik Maes

  • Authors: Lotte Huysmans

  • Programming Language: Python

  • Link to the repository

  • Categories: Supervised learning, Images

Publications:

  • Huysmans L, De Wel B, Claeys KG, Maes F. Automated MRI quantification of volumetric per-muscle fat fractions in the proximal leg of patients with muscular dystrophies. Frontiers in Neurology. 2023 May 24;14:1200727