Low-field cardiac MR imaging has intrinsically low SNR that degrades the image quality, especially for LGE imaging. Using multiple acquisitions and motion-corrected averaging is a well-established method to improve SNR. However, the ineffectiveness of MOCO at low field leads to blurring. We proposed a novel method that integrates motion correction into compressed sensing and reconstructs a single motion-corrected image. Quantitative sharpness measurements demonstrate that the proposed method improves boundary sharpness, independent of differences in SNR.
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Ding et al. (2024) studied this question.
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