Liver magnetic resonance imaging (MRI) has been widely performed for liver lesion detection and characterization. There have been attempts to improve the image quality of T1-weighted images at liver MRI. Recently, deep learning (DL)-based reconstruction gains attention as a tool for improving the image quality without substantial computational power or difficult sequence modification.
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