Keywords: New Trajectories & Spatial Encoding Methods, Low-Field MRI, Super Resolution
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.
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