Keywords: MSK, Fat, CS AI, Bone Marrow Fat, mDIXON-quantCompressed SENSE (CS) has been suggested to speed up MRI acquisition in clinical studies, while reducing artefacts and improving image quality. To date, the optimal acceleration factor (AF) for Compressed SENSE AI (CS AI) versus conventional compressed SENSE (CS) on lumber spine images remains unclear. In this study, the impact of CS AI technique with different acceleration factors compared with conventional CS on the utility of measuring lumber spine fat was investigated. Results of this study showed that CS AI not only shortened MRI acquisition time, but also ensured image quality, as well as clinical diagnostic accuracy and clinical throughput.
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