The quality of commonly used fetal T1-weighed inversion recovery(IR) images is relatively poor. Compressed SENSE(CS) technique allows shortening of scan time, but the overall image quality has not been significantly improved. In this study, Compressed-SENSE Artificial intelligence(CS-AI) framework was applied to reduce the scan time and increase the spatial resolution. This study aims at acquiring high-resolution fetal brain T1-weighted image with reduced scan time and compare the image quality among images reconstructed with CS-AI, CS and conventional SENSE.
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