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Abstract #0963

Multi-domain Motion Correction Network for Turbo Spin-echo MRI

Jongyeon Lee1, Wonil Lee1, Namho Jeong1, and HyunWook Park1
1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of


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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