Winter, LukasPeriquito, JoãoKolbitsch, ChristophPellicer-Guridi, RubenNunes, Rita G.Häuer, MartinBroche, LionelO'Reilly, Tom2024-05-082024-05-082024-07Winter, 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, vol. 37, no. 7, e5052. https://doi.org/10.1002/nbm.50520952-3480ORCID: /0000-0002-8452-9838/work/159955313https://hdl.handle.net/2164/23424The authors would like to thank all the authors that are sharing their work open-source and all the supporters of the Open Source Imaging Initiative (OSI2). The project (21NRM05 and 22HLT02 A4IM) has received funding from the European Partnership on Metrology, co-financed by the European Union's Horizon Europe Research and Innovation Programme and by the Participating States. This research is funded by dtec.bw- Digitalization and Technology Research Center of the Bundeswehr. dtec.bw is funded by the European Union - NextGeneration EU. Part of the image reconstruction used here was developed by the CCP PETMR and CCP SynerBi (https://www.ccppetmr.ac.uk/), UK EPSRC grants EP/P022200/1, EP/M022587/1 and EP/T026693/1. This work made use of computational support by CoSeC, the Computational Science Centre for Research Communities via CCP-SyneRBI and CCPi. RG Nunes acknowledges funding from Fundação para a Ciência e a Tecnologia (grants UIDP/50009/2020 and LA/P/0083/2020). Ruben Pellicer-Guridi has been funded by the European Union's Marie Skłodowska-Curie project nr. 101030868. Open Access funding enabled and organized by Projekt DEAL.274606470engImage reconstructionimage registrationImage segmentationlow-field MRImagnetic resonance imagingopen-source hardwareopen-source softwareR Medicine (General)Engineering and Physical Sciences Research Council (EPSRC)EP/P022200/1EP/M022587/1EP/T026693/1European Research Council101030868R1Journal article10.1002/nbm.5052377