USE OF OPTICAL FLOW TO ESTIMATE CONTINUOUS CHANGES IN MUSCLE THICKNESS FROM ULTRASOUND IMAGE SEQUENCES
USE OF OPTICAL FLOW TO ESTIMATE CONTINUOUS CHANGES IN MUSCLE THICKNESS FROM ULTRASOUND IMAGE SEQUENCES
复制标题
使用光流从超声图像序列估计肌肉厚度的连续变化
DOI：
10.1016/j.ultrasmedbio.2013.06.009
复制
发表时间：
2013-11-01
影响因子：
2.9
通讯作者：
Chen, Xin
中科院分区：
文献类型：
--
作者：
Li, Qiaoliang;Ni, Dong;Chen, Xin
肌肉厚度是用于量化肌肉功能的最广泛使用的参数之一。超声检查经常用于估计静态和动态收缩中肌肉厚度的变化。常规地，大多数这样的测量通过超声图像的手动分析来进行。这种人工方法耗时、主观、易出错，不适合测量动态变化。在这项研究中，我们开发了一种自动跟踪方法的基础上的光流算法使用仿射运动模型。该研究的目的是通过将其与手动方法进行比较并确定其重复性来评价所提出的方法的性能。实时B型超声检查股直肌在随意收缩。多重相关系数（CMC）用于量化两种方法之间的一致性水平和拟定方法的重复性。并通过线性回归和Bland-Altman分析对两种方法进行比较。结果表明，使用所提出的方法获得的结果与使用手动方法获得的结果（CMC = 0.97 +/- 0.02，差异= -0.06 +/- 0.22 mm）一致，并且具有高度可重复性（CMC = 0.91 +/- 0.07）。总之，本文提出的自动化方法提供了一种精确、高度可重复和有效的方法来估计肌肉收缩期间的肌肉厚度。（电子邮件：chenxin@szu.edu.cn）（c）2013年世界医学和生物学超声联合会。
Muscle thickness is one of the most widely used parameters for quantifying muscle function. Ultrasonography is frequently used to estimate changes in muscle thickness in both static and dynamic contractions. Conventionally, most such measurements are conducted by manual analysis of ultrasound images. This manual approach is time consuming, subjective, susceptible to error and not suitable for measuring dynamic change. In this study, we developed an automated tracking method based on an optical flow algorithm using an affine motion model. The goal of the study was to evaluate the performance of the proposed method by comparing it with the manual approach and by determining its repeatability. Real-time B-mode ultrasound was used to examine the rectus femoris during voluntary contraction. The coefficient of multiple correlation (CMC) was used to quantify the level of agreement between the two methods and the repeatability of the proposed method. The two methods were also compared by linear regression and Bland-Altman analysis. The findings indicated that the results obtained using the proposed method were in good agreement with those obtained using the manual approach (CMC = 0.97 +/- 0.02, difference = -0.06 +/- 0.22 mm) and were highly repeatable (CMC = 0.91 +/- 0.07). In conclusion, the automated method proposed here provides an accurate, highly repeatable and efficient approach to the estimation of muscle thickness during muscle contraction. (E-mail: chenxin@szu.edu.cn) (c) 2013 World Federation for Ultrasound in Medicine & Biology.