Vokhiwa, Maclean, Chetcuti, Karen, Lange, Frederik, Bourke, Niall J., Randall, Louise, Greenstein, Steven, Seal, Marc, Beare, Richard, Hussain, Adam, Rao, Padma, Ljungberg, Emil, Padormo, Francesco, Rogers, John, Torelli, Pip, Williams, Steve, Jones, Derek K. ORCID: https://orcid.org/0000-0003-4409-8049, Deoni, Sean C.L., Pasricha, Sant-Rayn, Phiri, Kamija S. and Umar, Eric
2026.
Feasibility, image quality, and analytic usability of mobile 64 mT ultra-low-field MRI for infant brain imaging at 3 and 12 months in Southern Malawi.
Journal of Magnetic Resonance Open
28
, 100225.
10.1016/j.jmro.2026.100225
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Abstract
Mobile ultra-low-field MRI (ULF-MRI) could reduce inequities in infant neuroimaging in sub-Saharan Africa, but evidence of its feasibility, image quality, and analytic usability remains limited. We evaluated the feasibility, image quality, and analytic usability of mobile 64 mT ULF-MRI for non-sedated infant brain imaging at three and twelve months of age within a longitudinal trial platform in southern Malawi. Feasibility was assessed through visit-level scan uptake and sequence completion; image quality through artifact-based quality control (QC) and radiologist interpretability review; and analytic usability through multi-structure volumetry and correspondence across independent processing workflows. Across 810 eligible visits (3 months: 410; 12 months: 400), 654 MRI sessions were completed (80.7%; 86.6% at 3 months; 74.8% at 12 months), with high sequence acquisition success among completed scans. Of 654 completed sessions, 495 entered artifact-based QC and 442/495 (89.3%) met predefined full-brain quality criteria for volumetric processing; motion-related degradation was the principal determinant of exclusion. Radiologist review (n = 426) rated 396/426 scans (93.0%) as analysable. Volumetry was derived for 215 infants at 3 months and 227 at 12 months, with 99 paired observations demonstrating measurable age-related differences in tissue volumes (grey matter +39.0 ± 7.2%; white matter +48.8± 9.5%). An independent cloud-based pipeline showed high correspondence for supratentorial tissue and total intracranial volume at 12 months (r ≈ 0.97). These findings demonstrate that non-sedated infant ULF-MRI can acheive high uptake, interpretable imaging, and scalable volumetric processing in a low-resource setting. The results support its analytic readiness for integration into developmental neuroscience research where conventional MRI is unavailable.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Psychology Research Institutes & Centres > Cardiff University Brain Research Imaging Centre (CUBRIC) |
| Publisher: | Elsevier |
| ISSN: | 2666-4410 |
| Date of First Compliant Deposit: | 18 August 2026 |
| Last Modified: | 02 Sep 2026 13:36 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/189057 |
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