Abstract #2696

Portable ultra-low-field brain MRI: test-retest reliability and correspondence to high-field MRI

František Váša¹, Carly Bennalick¹, Niall J Bourke¹, Francesco Padormo², Paul Cawley^3,4, Tomoki Arichi^3,4, Tobias C Wood¹, David J Lythgoe¹, Flavio Dell'Acqua^1,5, Levente Baljer¹, Sean CL Deoni⁶, Ashwin V Venkataraman^1,7, Rosalyn J Moran¹, Robert Leech¹, and Steven CR Williams¹

¹Department of Neuroimaging, King's College London, London, United Kingdom, ²Hyperfine, Inc., Guildford, CT, United States, ³Center for the Developing Brain, King's College London, London, United Kingdom, ⁴Medical Research Council Center for Neurodevelopmental Disorders, King's College London, London, United Kingdom, ⁵Department of Forensics and Neurodevelopmental Sciences, King's College London, London, United Kingdom, ⁶Bill and Melinda Gates Foundation, Seattle, WA, United States, ⁷Department of Old Age Psychiatry, King's College London, London, United Kingdom

Synopsis

Keywords: Gray Matter, Segmentation, Analysis/Processing, Brain, Data Acquisition, Validation

Motivation: Ultra-low-field MRI scanners offer a cost-effective and portable alternative to high-field neuroimaging.

Goal(s): To quantify between-scanner test-retest reliability of 64mT brain scans, and their correspondence to 3T MRI.

Approach: We scanned 23 healthy participants on two Hyperfine 64mT scanners and a GE 3T scanner using T₁w and T₂w scans at multiple resolutions. We segmented images into 98 structures and estimated their volumes.

Results: We demonstrate excellent reliability of volumetric estimates from ultra-low-field MRI, and high correspondence to high-field scans. The highest reliability and high-field correspondence was obtained using T₂w ultra-low-field scans, super-resolved by combining three orthogonal acquisitions with low through-plane resolution.

Impact: Measures of brain volume from Hyperfine portable ultra-low-field MRI scans show excellent test-retest reliability across scanners, and excellent correspondence to similar estimates from high-field MRI. This enables quantitative analysis of cost-effective and portable neuroimaging in various contexts, including low-resource environments.

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