In this work, we aimed to use a deep learning based Compressed SENSE reconstruction algorithm, presented here as Artificial Intelligence Compressed-SENSE (AI-CS), to improve image quality of 3D magnetic resonance cholangiopancreatography (MRCP) in a breath hold (BH). The results demonstrated that AI-CS BH MRCP can enable improved image quality and show great visibility of small ductal structures than other previous methods.
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