Estimation of muscle pennation angle in ultrasound images using the beamlet transform

作     者：施俊 王锐玲 SHI Jun,WANG Rui-ling School of Communication and Information Engineering,Shanghai University,Shanghai 200072,P.R.China

作者机构：School of Communication and Information EngineeringShanghai University 

出 版 物：《Journal of Shanghai University(English Edition)》 (上海大学学报（英文版）)

年 卷 期：2010年第14卷第1期

页      面：34-38页

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 100207[医学-影像医学与核医学] 0810[工学-信息与通信工程] 1002[医学-临床医学] 08[工学] 1010[医学-医学技术（可授医学、理学学位）] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：supported by the National Natural Science Foundation of China (Grant No.60701021) the Innovation Program of Shanghai Municipal Education Commission (Grant No.09YZ15) the Shanghai Leading Academic Discipline Project(Grant No.J50104) 

主　　题：skeletal muscle pennation angle ultrasound image beamlet transform 

摘      要：Ultrasound imaging has been widely used to investigate the architecture properties of skeletal muscle, including the measurement of the pennation angle. In this study, we propose a beamlet-based algorithm to detect the straight line- shaped patterns of aponeurosis, fascicle or bone, and then to quantify the pennation angle ix1 ultrasound images. The results demonstrate that the proposed algorithm can well detect the pennatoin angles in thirty ultrasound images with the correlation coefficient of 0.945, the standard root mean square error of 0.682°, and the relative root mean square error of 3.498%. The results suggest that this beamlet-based algorithm provides an alternative approach for the orientation estimation in muscu- loskeletal ultrasound images.