Open-source magnetic resonance imaging: Improving access, science, and education through global collaboration

Lukas Winter* (Corresponding Author), João Periquito, Christoph Kolbitsch, Ruben Pellicer-Guridi, Rita G. Nunes, Martin Häuer, Lionel Broche, Tom O'Reilly

*Corresponding author for this work

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Abstract

Open-source practices and resources in magnetic resonance imaging (MRI) have increased substantially in recent years. This trend started with software and data being published open-source and, more recently, open-source hardware designs have become increasingly available. These developments towards a culture of sharing and establishing nonexclusive global collaborations have already improved the reproducibility and reusability of code and designs, while providing a more inclusive approach, especially for low-income settings. Community-driven standardization and documentation efforts are further strengthening and expanding these milestones. The future of open-source MRI is bright and we have just started to discover its full collaborative potential. In this review we will give an overview of open-source software and open-source hardware projects in human MRI research.

Original languageEnglish
Article numbere5052
Number of pages27
JournalNMR in Biomedicine
Early online date20 Nov 2023
DOIs
Publication statusE-pub ahead of print - 20 Nov 2023

Keywords

  • Image reconstruction
  • image registration
  • Image segmentation
  • low-field MRI
  • magnetic resonance imaging
  • open-source hardware
  • open-source software

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