Automatic detection method of muscle fiber movement as revealed by ultrasound images
Automatic detection method of muscle fiber movement as revealed by ultrasound images
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DOI：
10.1016/j.medengphy.2008.11.004
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发表时间：
2009-06-01
影响因子：
2.2
通讯作者：
Komeda, Takashi
中科院分区：
文献类型：
--
作者：
Miyoshi, Tasuku;Kihara, Tomohiko;Komeda, Takashi
本研究的目的是开发一种肌肉结构测量方法，该方法基于对超声图像时间序列显示的肌纤维、近端筋膜和远端腱膜运动的自动分析。这种方法的目的是检测肌肉纤维运动的长度的变化，其有效性证明了肌肉运动的时间序列，踝关节背屈（10度/秒），通过比较手动测量。结果表明，当使用这种方法时，在缓慢肌肉运动下肌纤维长度的变化小于新手手动操作时的变化。然而，与所提出的方法，它是可能的，以获得足够程度的有效性和可靠性的肌纤维长度的长度的变化与手工操作相比，因为相关系数超过0.8，这是由线性回归测试。所提出的方法表明，自动化减少了由手动操作引起的错误，并使数据处理在可接受的时间内成为可能。(C)2008年妇女平等问题国际研究所。由爱思唯尔有限公司出版。保留所有权利。
The objective of this study was to develop a method of muscle structure measurement based on the automatic analysis of muscle fibers, proximal fascias, and distal aponeurosis movements as revealed by a time-series of ultrasound images. This method was designed to detect changes in the length of muscle fiber movements, and its validity was demonstrated in a time-series of muscle movement, slow ankle dorsiflexion (10 degrees/s), by comparison to manual measurement. The results showed that, when this method was used, the changes in the length of the muscle fiber under slow muscle movement were smaller than those in manual operations by novice individuals. However, with the proposed method, it was possible to obtain a sufficient degree of validity and reliability for the changes in the length of the muscle fiber length compared with those in manual operations, since the correlation coefficients exceeded 0.8 which was tested by the linear regression. The proposed method suggests that automation reduces the errors caused by manual operations and makes the processing of data possible in an acceptable amount of time. (C) 2008 IPEM. Published by Elsevier Ltd. All rights reserved.