会议专题

A Novel Approach for Detection of Muscle Boundary in Ultrasound Images

Muscle functions are closely related to the architectural characteristics which can be investigated in vivo by ultrasonography. However, it is a challenging problem to automatically extract the architectural parameters, such as cross-sectional area (CSA), from the ultrasound images. In this study, a novel algorithm was proposed to automatically detect the muscle boundary and compute the continuous CSA change from the image sequence. This algorithm was then applied to study the in vivo behavior of the rectus femoris (RF) muscle during isometric contraction. The results showed that the algorithm was highly reliable, and it can provide the information about the muscle contraction from the morphological aspect with high temporal resolution.

ultrasonography muscle boundary cross-sectional area isometric contraction

Xin Chen Yong-ping Zheng Jinyi Guo Zhenyu Zhu Shing-Chow Chan Zhiguo Zhang

Department of Biomedical Engineering, Shenzhen University, Shenzhen Key Laboratory of Biomedical Eng Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Ch Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China

国际会议

2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

上海

英文

58-61

2011-10-15(万方平台首次上网日期,不代表论文的发表时间)