Date of Award
Summer 7-10-2025
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Biomedical Engineering
First Advisor
Amit Joshi
Second Advisor
Andrew S. Nencka
Third Advisor
Bing Yu
Abstract
Ultra-low-field (ULF) MRI systems, such as the Hyperfine Swoop (64mT), represent a transformative advancement in neuroimaging by offering portable, affordable alternatives to conventional high-field MRI. This system has the potential to significantly expand access to diagnostic imaging in resource-limited, emergency, and point-of-care settings. This study evaluates the clinical reliability and reproducibility of the Hyperfine Swoop by conducting a series of controlled in vivo test-retest scans on a single participant. Quantitative assessment of brain image quality was performed using voxel volume consistency and the Structural Similarity Index Measure (SSIM). The results demonstrated high intra-subject repeatability with minimal variation across sessions, underscoring the system’s robustness and stability. These findings support the clinical viability of Hyperfine Swoop (64mT) for routine diagnostic use and highlight its promise as a scalable solution for broader healthcare accessibility.