Zugriffsnummer 52046
Dokumenttyp Zeitschriftenartikel Open Access Hybrid
Peer Review mit Peer Review
Sprache Englisch
Titel Open-source magnetic resonance imaging: Improving access, science, and education through global collaboration
Autor(in); Institution
Winter, Lukas; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Periquito, João; Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK
Kolbitsch, Christoph; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Pellicer-Guridi, Ruben; Asociación de investigación MPC, San Sebastián, SPAIN
Nunes, Rita G; Institute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, PORTUGAL
Häuer, Martin; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin; Open Source Ecology Germany e.V. (nonprofit), Berlin, GERMANY
Broche, Lionel; Biomedical Physics, University of Aberdeen, Aberdeen, UK
O'Reilly, Tom; Leiden University Medical Center (LUMC), Leiden, THE NETHERLANDS
Quelle/Jahr NMR in Biomedicine: 37 (2024), 7, 1 - 27
Artikelnummer e5052
ISSN 0952-3480 (print) ; 1099-1492 (online)
Verlag Bristol: Wiley
Freie Schlagworte image reconstruction ; image registration ; image segmentation ; low‐field MRI ; magnetic resonance imaging ; open‐source hardware ; open‐source software
Zusammenfassung 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
Kostenfreier Zugang Open Access Hybrid
Rechteinformation CC BY 4.0 ; Creative Commons Attribution 4.0 License

Zitierung

Winter, L., Periquito, J., Kolbitsch, C., Pellicer-Guridi, R., Nunes, R. G., Häuer, M., Broche, L., & O'Reilly, T. (2024). Open-source magnetic resonance imaging: Improving access, science, and education through global collaboration. NMR in Biomedicine, 37(7), 1–27.

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