Winter, L. orcid.org/0000-0002-4381-275X, Periquito, J., Kolbitsch, C. orcid.org/0000-0002-4355-8368 et al. (5 more authors) (2024) Open‐source magnetic resonance imaging: improving access, science, and education through global collaboration. NMR in Biomedicine, 37 (7). e5052. ISSN 0952-3480
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 Physikalisch-Technische Bundesanstalt and The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited: https://creativecommons.org/licenses/by/4.0/ |
Keywords: | image reconstruction; image registration; image segmentation; low-field MRI; magnetic resonance imaging; open-source hardware; open-source software |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/P022200/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Nov 2023 16:02 |
Last Modified: | 01 Nov 2024 12:53 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/nbm.5052 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:205957 |