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Review
. 2024 Jul;37(7):e5052.
doi: 10.1002/nbm.5052. Epub 2023 Nov 20.

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

Lukas Winter  1 , João Periquito  2 , Christoph Kolbitsch  1 , Ruben Pellicer-Guridi  3 , Rita G Nunes  4 , Martin Häuer  1   5 , Lionel Broche  6 , Tom O'Reilly  7
Affiliations
Free article
Review

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

Lukas Winter et al. NMR Biomed. 2024 Jul.
Free article

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.

Keywords: image reconstruction, image registration; image segmentation; low‐field MRI; magnetic resonance imaging; open‐source hardware; open‐source software.

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