We developed and evaluated a deep learning technique for enhancing four-dimensional MRI (4D-MRI) image quality based on conditional adversarial networks. The quantitative and qualitative evaluative results demonstrated that the proposed model was able to reduce artifacts in low-quality 4D-MRI images and recover the details obtained from high-quality MR images, and performed better as compared with a state-of-the-art method.
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