Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
567-02-005 ISMRM Abstract

Remote Control of Portable Low-Field MRI by Cloud-Native Acquisition Platform

Primary: Acquisition & Reconstruction - Open source software, sequences, and reconstruction algorithms
Secondary: Physics & Engineering - Low-Field MRI
567-02-005 · Open-Source Software, Sequences, and Reconstruction Algorithms · Wednesday, 13 May, 9:15 AM–10:10 AM · Digital Posters Row H
Keywords: Low-Field MRI Software Tools Open-source software Low-Resource Settings Software Engineering
Accepted
David Schote 1, Johannes Behrens2, Christoph Kolbitsch1, Lukas Winter1,3, Christoph Dinh2
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Berlin, Germany
2Brain-Link UG (haftungsbeschränkt), Landau i.d. Pfalz, Germany
3Open Source Imaging Initiative (OSI²) e.V., Berlin, Germany
Presenting Author: David Schote

Synopsis

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References

1. Sheth KN, Yuen MM, Mazurek MH, et al. Bedside detection of intracranial midline shift using portable magnetic resonance imaging. Sci Rep. 2022;12(1):67. doi:10.1038/s41598-021-03892-7 [doi]
2. Prabhat AM, Crawford AL, Mazurek MH, et al. Methodology for Low-Field, Portable Magnetic Resonance Neuroimaging at the Bedside. Front Neurol. 2021;12:760321. doi:10.3389/fneur.2021.760321 [doi]
3. Hovis G, Langdorf M, Dang E, Chow D. MRI at the Bedside: A Case Report Comparing Fixed and Portable Magnetic Resonance Imaging for Suspected Stroke. Cureus. Published online August 5, 2021. doi:10.7759/cureus.16904 [doi]
4. Mazurek MH, Cahn BA, Yuen MM, et al. Portable, bedside, low-field magnetic resonance imaging for evaluation of intracerebral hemorrhage. Nat Commun. 2021;12(1):5119. doi:10.1038/s41467-021-25441-6 [doi]
5. Winter L, Periquito J, Kolbitsch C, et al. Open-source magnetic resonance imaging: Improving access, science, and education through global collaboration. NMR in Biomedicine. 2023;37(n/a):e5052. doi:10.1002/nbm.5052 [doi]
6. Geethanath S, Vaughan JT. Accessible magnetic resonance imaging: A review. Magnetic Resonance Imaging. 2019;49(7). doi:10.1002/jmri.26638 [doi]
7. Schote D, Silemek B, O’Reilly T, et al. Nexus: A versatile console for advanced low‐field MRI. Magnetic Resonance in Med. 2025;93(5):2224-2238. doi:10.1002/mrm.30406 [doi]
8. Schote D, Behrens J, Winter L, Kolbitsch C, Dinh C. ScanHub: Open-Source Platform for MR Scanner Control, Acquisitions and Postprocessing. In: Proceedings of the International Society for Magnetic Resonance in Medicine. Vol 31. 2023:2391.
9. Layton KJ, Kroboth S, Jia F, et al. Pulseq: A rapid and hardware-independent pulse sequence prototyping framework: Rapid Hardware-Independent Pulse Sequence Prototyping. Magn Reson Med. 2017;77(4):1544-1552. doi:10.1002/mrm.26235 [doi]
10. Ravi K, Geethanath S, Vaughan J. PyPulseq: A Python Package for MRI Pulse Sequence Design. JOSS. 2019;4(42):1725. doi:10.21105/joss.01725 [doi]
11. Inati SJ, Naegele JD, Zwart NR, et al. ISMRM Raw data format: A proposed standard for MRI raw datasets. Magnetic Resonance in Medicine. 2017;77(1):411-421. doi:10.1002/mrm.26089 [doi]
12. Zimmermann FF, Schuenke P, Aigner CS, et al. MRpro - open PyTorch-based MR reconstruction and processing package. arXiv. Preprint posted online July 30, 2025. doi:10.48550/arXiv.2507.23129 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/567-02-005