Keywords: Motion Correction, Motion Correction
Motivation: The gadoxetic acid-enhanced liver MRI is often accompanied by significant motion artifacts due to drug side effects.
Goal(s): Motion correction by integrating Disentangled Cycle-GAN with the k-space Subsampling (DCGAN-kS) method.
Approach: Convert motion correction to the image domain transfer problem resolved by DCGAN with the aid of the k-space subsampling strategy for reducing features and simplifying the domain transfer problem.
Results: The method can effectively remove artifacts for the arterial phase imaging of the gadoxetic acid-enhanced liver MRI.
Impact: The proposed scheme outperforms the other state-of-the-art methods for motion correction in the gadoxetic acid-enhanced liver MRI, which could enhance the image quality and reduce failed scanning.
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