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Abstract #2789

A Video Block Matching 3D Transform-domain Collaborative Filtering Approach for High Spatiotemporal Resolution DCE-MRI

Zhongbiao Xu1, Zhenguo Yuan2, Yaohui Wang3, Junying Cheng4, Rongli Zhang5, Ling Xia6, Yanqiu Feng7, Feng Liu8, and Zhifeng Chen7
1Guangdong Provincial People's Hospital, guangzhou, China, 2shandong medical imaging research institute ,shandong provincial hospital ,afflliated shangdong first medical uinversity, jinan, China, 3Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China, 4First Affiliated Hospital of Zhengzhou University, zhengzhou, China, 5Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hongkong, China, 6Department of Biomedical Engineering, Zhejiang University, HangZhou, China, 7Southern Medical Southern, guangzhou, China, 8School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia

High spatiotemporal resolution DCE-MRI has great clinical value in disease diagnosis and treatment. In this study, we propose to use a video block matching 3-D filtering approach to improve high spatiotemporal resolution DCE-MRI. Both phantom and in vivo experiments were performed in this work. The phantom experiment indicated that the proposed approach outperforms iGRASP and GRASP-Pro methods with lower reconstruction errors, especially in cases involving super high reduction factors. In vivo experiments draw similar conclusion. This new technique can provide a potential solution for real-time imaging and image guided radiation therapy.

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