南方医科大学学报2015，Vol.35Issue(8)：1116-1121,6.
腓肠肌羽状角的超声自动测量
Automatic extraction of the pennation angle of the gastrocnemius muscles from ultrasound radiofrequency signals
摘要
Abstract
Objective We propose a cross-correlation method for automatic extraction of the pennation angle (PA) of the gastrocnemius (GM) muscle from ultrasound radiofrequency (RF) signals. Methods The ultrasound RF signals of the GM muscles in tension condition from normal subjects and the simulated ultrasound signals were collected. After the starting point of tracking, a fascicle was selected in the reconstructed GM ultrasound image from the RF signals, and the fascicle and deep aponeurosis could be automatically tracked using the cross-correlation algorithm. The lines of the fascicle and deep aponeurosis were then drawn and the PA was calculated. The reproducibility of the proposed method and its consistency with the manual measurement method were tested. Results The angles of the simulated fascicles were precisely extracted automatically. The difference between the experimental measurement and the theoretical values was less than 1° . The PA measured automatically and manually was 20.48°±0.47° and 21.49°±1.79°, respectively. The coefficient of variation (CV) of the two methods was less than 3% and the root-mean square error (RMSE) was less than 1° . Bland-Altman plot showed a good agreement between the proposed automatic method and the manual method. Conclusion The proposed cross-correlation automatic measurement method can detect the orientation of the fascicle and deep aponeurosis and measure the PA based on ultrasound RF signals with serious speckle noise.关键词
腓肠肌/羽状角/超声射频信号/互相关算法Key words
gastrocnemius muscle/pennation angle/ultrasound radiofrequency signals/cross-correlation algorithm引用本文复制引用
潘庆亚,陈朝宏,王青,黄庆华,陈武凡,冯前进..腓肠肌羽状角的超声自动测量[J].南方医科大学学报,2015,35(8):1116-1121,6.基金项目
国家自然科学基金(81201508,81371560) （81201508,81371560）
国家973计划项目(2010CB732505) （2010CB732505）
广东省高校人才引进专项基金计划(2050205) Supported by National Natural Science Foundation of China (81201508, 81371560). （2050205）
