A Reference System for Open Source Portable Low-Field MRI

David Schote; Helge Herthum; Umberto Zanovello; Julia Pfitzer; Ivo Jutte; Jan Gregor Frintz; Ilia Kulikov; Sebastian Littin; Frank Seifert; Christoph Kolbitsch; Lukas Winter

arXiv · 2608.19062

A Reference System for Open Source Portable Low-Field MRI

David Schote·Helge Herthum·Umberto Zanovello·Julia Pfitzer·Ivo Jutte·Jan Gregor Frintz·Ilia Kulikov·Sebastian Littin·Frank Seifert·Christoph Kolbitsch·Lukas Winter

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Abstract

Despite its renewed attention, the pathway to point-of-care portable low-field MRI systems remains challenging, limiting adoption across research groups. Incomplete documentation limits reproducibility, causing redesign and complicating cross-system comparison. Moreover, non-standardized testing and characterization complicates ethical approval for clinical studies. We present an open-source reference system for portable low-field MRI designed to support replication, reproducibility, benchmarking, and quantitative comparison. The system is fully open source, based on a ~50 mT permanent magnet, and integrated with a cloud-native acquisition platform. Pulseq-based calibration, characterization, and imaging sequences assessed noise level, eddy currents, image-based SNR, and geometric accuracy. Quantitative T1, T2, and B0 mapping sequences were developed and evaluated against reference values. Initial results from independent replications at two sites were compared. The system reached a noise level of 1.4 relative to the thermal noise floor and short eddy-current decay constants of 27-32 us across all gradient channels. Geometric deviations were below 2 mm over the field of view. Image-based SNR were consistent between the independent replications. Measured T1 values closely matched specified values, with an average absolute error of 3.1(1.8)%, while T2 values were overestimated by 10.4(5.8)%. Simulations showed only marginal errors for both quantities, suggesting experimental error sources for T2 mapping. The reference system combines openly documented hardware, software, calibration procedures, phantoms, quantitative MRI, and simulation tools in a reproducible ecosystem, aiming to support cross-site comparability, reproducible research, and collaborative development of future portable low-field MRI technologies.

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David Schote, Helge Herthum, Umberto Zanovello, Julia Pfitzer, Ivo Jutte, Jan Gregor Frintz, Ilia Kulikov, Sebastian Littin, Frank Seifert, Christoph Kolbitsch, Lukas Winter. 2026-08-19. A Reference System for Open Source Portable Low-Field MRI. https://arxiv.org/abs/2608.19062

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