Contrast-enhanced MR scans have been commonly used in the diagnosis of liver lesions. However, it has limited use to the patients allergic to the contrast agent. Recently, there are increasing concerns about the safety of the use of Gadolinium-based contrast agents. In this study, we employed a cycle generative adversarial network strategy to test the feasibility of predicting the contrast enhancement images in liver MRI.
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