Motion-corrected brain MRI at 64 mT

Motivation: Ultra-low field (ULF) MRI technology offers affordable and accessible imaging but often requires long scan times to achieve sufficient signal-to-noise ratio (SNR). This increases the risk of image degradation and artifact due to patient motion, especially for those who cannot voluntarily remain still. Goal(s): To enable motion-corrected brain MRI at ULF. Approach: We combined alignedSENSE, a data-driven motion correction algorithm based on the SENSE model, with the self-navigated DISORDER phase encoding sampling trajectory to correct for within-scan motion. Additionally, we correct for within-scan phase variations that arise from other system imperfections. Results: The proposed motion+phase correction improved image quality in all cases tested. Impact: alignedSENSE, combined with phase correction, can effectively improve image quality without increasing scan time in ULF MRI systems without increasing scan time, making them more valuable for clinical use.