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.
Brackenier et al. (Tue,) studied this question.
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