Suppr超能文献

使用具有光流算法的定制软件进行超声速度测量的有效性和可靠性。

Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm.

作者信息

Yamashita Tomoko, Ozawa Kohei, Gamada Kazuyoshi

机构信息

Graduate School of Medical Technology and Health Welfare Sciences, Hiroshima International University: 555-36 Kurose-Gakuendai, Higashihiroshima, Hiroshima 739-2695, Japan.

Mirai Links, Japan.

出版信息

J Phys Ther Sci. 2020 Feb;32(2):130-139. doi: 10.1589/jpts.32.130. Epub 2020 Feb 14.

Abstract

[Purpose] The purposes of this study were: 1) to validate a commercial software program using an optical-flow algorithm to measure the velocity of muscle movement; and 2) to determine optimal image quality and the size and location of regions of interest. [Materials and Methods] First, a block of pork thigh muscle was pulled at 33 different constant velocities. Subsequently, an accelerometer, a high-velocity camera, and ultrasonography were used to obtain measurements, and an Echolizer software was used to determine ultrasound-based velocities. Finally, the impact of the location and size of the regions of interest and the brightness and contrast of the images was analyzed. [Results] The regression equation was expressed as y=1.150 × -0.071 with a determination coefficient of 0.996. The average absolute error of the software was 0.02 mm/s, and the average relative error was 0.20% of the actual velocity between 2.5 and 16.5 mm/s after the regression equation was applied to the measured data. The accuracy of measurement was reduced owing to the increased size of the regions of interest, which included poor image quality or a deeper zone. [Conclusion] Our method of measuring muscle velocity using a custom program showed high validity and reliability. It is necessary to use the regression equation in the program to improve accuracy. However, the validity of the method could be reduced if the regions of interest involve deep tissues or areas with poor visualization of the muscle bundles, or if the brightness and contrast of the image are set inaccurately.

摘要

[目的] 本研究的目的是:1)验证一款使用光流算法测量肌肉运动速度的商业软件程序;2)确定最佳图像质量以及感兴趣区域的大小和位置。[材料与方法] 首先,以33种不同的恒定速度拉伸一块猪大腿肌肉。随后,使用加速度计、高速摄像机和超声检查进行测量,并使用Echolizer软件确定基于超声的速度。最后,分析了感兴趣区域的位置和大小以及图像的亮度和对比度的影响。[结果] 回归方程表示为y = 1.150× - 0.071,决定系数为0.996。将回归方程应用于测量数据后,该软件的平均绝对误差为0.02 mm/s,平均相对误差为实际速度在2.5至16.5 mm/s之间的0.20%。由于感兴趣区域尺寸增大,包括图像质量差或区域较深,测量精度降低。[结论] 我们使用自定义程序测量肌肉速度的方法显示出高度的有效性和可靠性。有必要在程序中使用回归方程来提高准确性。然而,如果感兴趣区域涉及深部组织或肌肉束可视化不佳的区域,或者图像的亮度和对比度设置不准确,该方法的有效性可能会降低。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验