Rapid 3D MR cholangiopancreatography in a breath-hold using deep learning constrained Compressed SENSE reconstruction
Yu Zhang1, Chunchao Xia1, Xiaoyong Zhang2, and Zhenlin Li1
1Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Clinical Science, Philips Healthcare, Chengdu, China
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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