A new ultrasound elastography displacement estimation method for mobile telemedicine
Traditional medicine requires doctors and patients to have face-to-face palpation, which is hugely inconvenient for under-developed areas, primarily rural areas. Telemedicine provides an opportunity for patients using mobile devices or the Internet to connect with doctors who maybe thousands of miles away. In this way, elastography is a crucial medical imaging modality that maps the elastic properties of soft tissue, which will be sent to doctors remotely. Among them, ultrasound elastography has become a research focus because it can accurately measure soft tissue lesions. Also, displacement estimation is a key step in ultrasound elastography technology. The phase-zero search method is a popular displacement estimation method with accurate and rapid features. However, the method is powerless when the displacement is more than 1/4 wavelength. The block-matching method can make up for this shortcoming. It is suitable for large displacement, although it is not accurate. Notably, the quality-guided block matching method has good robustness under the complex mutational condition. In this paper, we propose a displacement estimation method, which combines the block-matching method and the phase-zero search method. The block-matching method provides prior knowledge to increase the robustness of phase-zero search under the condition of large displacement. The experimental results show that our proposal has stronger robustness, more accurate results, and faster calculation speed.
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Authors: Hong-an Li (College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China), Min Zhang (College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China), Keping Yu (Global Information and Telecommunication Institute, Waseda University, Tokyo 169-8050, Japan), Xin Qi (Global Information and Telecommunication Institute, Waseda University, Tokyo 169-8050, Japan), Li Zhen (School of Communications and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, China), Yi Gong (School of Information and Communication Engineering, Beijing University of Posts and Communications (BUPT), Beijing, China), Jianfeng Tong (School of Information Science and Technology, Northwest University, Xi'an 710127, China),