Super Resolution Using Sparse Sampling at Portable Ultra-Low Field MR

Motivation: Ultra-low field (ULF) MRI is cost-effective and portable but has limited signal-to-noise ratio (SNR) and lower resolution. Goal(s): To develop a Fourier-based Super Resolution (FouSR) approach to enhance the resolution of ULF MRI images by combining spatial frequencies from two orthogonal ULF images. Approach: In a standard phantom and a cohort of 10 participants with multiple sclerosis (MS) we compared FouSR to ULF coronal and axial images and their average. Results: FouSR demonstrated improved image sharpness and lesion delineation without sacrificing SNR. Visual assessments of in-vivo data by an experienced MS neurologist supported the superior image quality of FouSR. Impact: The presented Fourier-based Super Resolution (FouSR) approach improves image resolution of ultra-low field MRI, providing sharper images for radiological assessment.