3D-isotropic volumetric data acquisition provides higher spatial resolution and signal-to-noise ratios, and facilitates multi-planar reformations. But the application was limited due to long scan time. Recently, compressed sensing (CS) has been proposed as a new method for reducing the number of k-space samples. However, one of the drawbacks of CS is a relatively lower SNR than for PI (parallel imaging). Artificial intelligence reconstruction has been introduced for improving imaging quality. The aim of this study is to investigate the feasibility of 3D-isotropic T1 weighted imaging (T1WI) with compressed sense AI reconstruction in the liver magnetic resonance imaging.
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