Motion correction in MRI has been successfully performed by adopting deep learning techniques to correct motion artifacts with data-driven algorithms. However, many of these studies have narrowly utilized MR physics. In addition to the efficient motion correction method proposed for multi-contrast MRI, we expand our previous method to utilize data in k-space domain for a single-contrast MRI. Using the motion simulation based on MR physics, we propose a multi-domain motion correction method in both k-space and image domains. Our proposed method finely reduces motion artifacts using the multi-domain network.
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