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Reducing pulsatile artefact in TOF sequence using CNN
Qiaoyi Xue1, Jianmin Yuan1, Haodong Qin2, Hui Liu1, Ran Huo3, and Huishu Yuan3
1Central Research Institute, United Imaging Healthcare Group, United Imaging Healthcare, Shanghai, China, 2Magnetic Resonance Business Unit, United Imaging Healthcare, Shanghai, China, 3Department of Radiology, Peking University Third Hospital, Beijing, China
Pulsate artifact in TOF series are caused by periodic spatial movement of the blood in vessels that disturb phase encoding and would affect clinical diagnosis. In this work we developed a deep learning solution to reduce the pulsatile artifact.
Figure 1. Training data preparation
Figure 2. CNN architecture