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
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）