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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