Characterization of portable ultra‐low field MRI scanners for multi‐center structural neuroimaging

Ljungberg, Emil, Padormo, Francesco, Poorman, Megan, Clemensson, Petter, Bourke, Niall, Evans, John C. ORCID: https://orcid.org/0000-0002-6619-4245, Gholam, James, Vavasour, Irene, Kollind, Shannon H., Lafayette, Samson L., Bennallick, Carly, Donald, Kirsten A., Bradford, Layla E., Lena, Beatrice, Vokhiwa, Maclean, Shama, Talat, Siew, Jasmine, Sekoli, Lydia, van Rensburg, Jeanne, Pepper, Michael S., Khan, Amna, Madhwani, Akber, Banda, Frank A., Mwila, Mwila L., Cassidy, Adam R., Moabi, Kebaiphe, Sephi, Dolly, Boakye, Richard A., Ae‐Ngibise, Kenneth A., Asante, Kwaku P., Hollander, William J., Karaulanov, Todor, Williams, Steven C. R. and Deoni, Sean 2025. Characterization of portable ultra‐low field MRI scanners for multi‐center structural neuroimaging. Human Brain Mapping 46 (8) , e70217. 10.1002/hbm.70217

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Abstract

The lower infrastructure requirements of portable ultra‐low field MRI (ULF‐MRI) systems have enabled their use in diverse settings such as intensive care units and remote medical facilities. The UNITY Project is an international neuroimaging network harnessing this technology, deploying portable ULF‐MRI systems globally to expand access to MRI for studies into brain development. Given the wide range of environments where ULF‐MRI systems may operate, there are external factors that might influence image quality. This work aims to introduce the quality control (QC) framework used by the UNITY Project to investigate how robust the systems are and how QC metrics compare between sites and over time. We present a QC framework using a commercially available phantom, scanned with 64 mT portable MRI systems at 17 sites across 12 countries on four continents. Using automated, open‐source analysis tools, we quantify signal‐to‐noise, image contrast, and geometric distortions. Our results demonstrated that the image quality is robust to the varying operational environment, for example, electromagnetic noise interference and temperature. The Larmor frequency was significantly correlated to room temperature, as was image noise and contrast. Image distortions were less than 2.5 mm, with high robustness over time. Similar to studies at higher field, we found that changes in pulse sequence parameters from software updates had an impact on QC metrics. This study demonstrates that portable ULF‐MRI systems can be deployed in a variety of environments for multi‐center neuroimaging studies and produce robust results.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Psychology Research Institutes & Centres > Cardiff University Brain Research Imaging Centre (CUBRIC)
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/
Publisher:	Wiley
ISSN:	1065-9471
Date of First Compliant Deposit:	27 May 2025
Date of Acceptance:	8 April 2025
Last Modified:	27 May 2025 14:30
URI:	https://orca.cardiff.ac.uk/id/eprint/178539

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