Lena, Beatrice, Padormo, Francesco, Teixeira, Rui Pedro A.G., Bennallick, Carly, Gholam, James, van den Broek, Ruben, Lecurieux Lafayette, Samson, Vavasour, Irene, Cercignani, Mara ![]() ![]() ![]() |
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Abstract
Very-low-field MRI (<100 mT) holds promise for Point-of-Care brain imaging applications, including stroke and multiple sclerosis, with T1 mapping emerging as a key biomarker for brain development and pathology. However, current low field T1 mapping protocols suffer from long acquisition times and limited multi-site repeatability. This study aimed to improve T1 mapping at 64 mT using a clinically feasible 10-minute protocol and assess repeatability and reproducibility across sites. We present an analysis of the repeatability and reproducibility of rapid T1 measurements in a commercially available phantom and in 60 volunteers, scanned with a portable 64 mT MRI systems at six sites. T1 mapping was performed using an undersampled 3D inversion-recovery turbo spin-echo sequence with a 10.8-minute scan time, and reconstructed with a locally low-rank approach. Our results in phantom demonstrated high reproducibility in T1 measurements (below 3% differences from the average), with non-significant differences between sites. Longitudinal measurements demonstrated high repeatability over time both in vivo and in phantom settings in one site, with minimal variability (average Coefficient of Variation of 0.6%). Average in vivo T1 values for white matter and cortex were 290±6 ms and 332±8 ms, respectively and the values demonstrated high reproducibility, with differences of less than 4% from the average across sites. Our results demonstrate the feasibility of multi-site in vivo T1 mapping at 64 mT, providing normative T1 values at this field strength and supporting its use as a quantitative biomarker in clinical applications.
Item Type: | Article |
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Date Type: | Published Online |
Status: | In Press |
Schools: | Schools > Psychology Research Institutes & Centres > Cardiff University Brain Research Imaging Centre (CUBRIC) |
Publisher: | Massachusetts Institute of Technology Press |
ISSN: | 2837-6056 |
Date of First Compliant Deposit: | 18 September 2025 |
Date of Acceptance: | 10 September 2025 |
Last Modified: | 30 Sep 2025 11:10 |
URI: | https://orca.cardiff.ac.uk/id/eprint/181182 |
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