Abstract #3006

Multi-site Scanner Characterisation for Global Ultra-low Field MR Imaging

Emil Ljungberg^1,2, Francesco Padormo³, John Evans⁴, Petter Clemensson¹, Shannon Kolind⁵, Samson Lecurieux Lafayette⁶, Carly Bennallick², Layla E. Bradford⁷, Kirsten A. Donald^7,8, Able Khosa⁹, Maclean Vokhiwa⁹, Talat Shama¹⁰, Michael S. Pepper¹¹, Alexica De Canha¹¹, Lydia Sekoli¹¹, Jeanne Van Rensburg¹¹, William J. Hollander¹², Todor Karaulanov¹², Steve Williams², and Sean Deoni¹³

¹Medical Radiation Physics, Lund University, Lund, Sweden, ²Neuroimaging, King's College London, London, United Kingdom, ³Hyperfine Inc., Guilford, CT, United States, ⁴Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, ⁵University of British Columbia, Vancouver, BC, Canada, ⁶Perinatal Imaging & Health, King's College London, London, United Kingdom, ⁷Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital, University of Cape Town, Cape Town, South Africa, ⁸The Neuroscience Institute, University of Cape Town, Cape Town, South Africa, ⁹Training & Research Unit of Excellence (TRUE), Zomba, Malawi, ¹⁰Infectious Diseases Division, icddr,b, Dahka, Bangladesh, ¹¹Institute for Cellular and Molecular Medicine, Department of Medical Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa, ¹²CaliberMRI, Boulder, CO, United States, ¹³MNCH D&T, Bill & Melinda Gates Foundation, Seattle, WA, United States

Synopsis

Keywords: Phantoms, MR Value, Quality Assurance

Motivation: Combining data from multiple sites is necessary in order to reach large sample sizes. This can be challenging, especially with portable ultra-low field (ULF) systems where conditions can vary.

Goal(s): To characterise image quality across multiple sites using ULF-MRI for future data harmonization.

Approach: Acquisition of QA scans across sites with centralised analysis for cross-sectional and longitudinal assessment. SNR and T2w contrast were calculated

Results: SNR was consistent within site, but some variation between sites. Image contrast was consistent, but extra care should be taken with software updates.

Impact: Quality assurance is essential for portable ultra-low field MRI. Our results demonstrate that SNR and contrast are useful metrics for image quality characterisation. This paves the way for harmonization of in vivo data in global studies using ultra-low field MRI.

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