Continuous Detection of Muscle Aspect Ratio Using Keypoint Tracking in Ultrasonography
Continuous Detection of Muscle Aspect Ratio Using Keypoint Tracking in Ultrasonography
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DOI：
10.1109/tbme.2013.2256786
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发表时间：
2013-04
影响因子：
4.6
通讯作者：
Qiaoliang Li;Huisheng Zhang;S. Qi;Mingbo Qiu;Xin Chen;Siping Chen;Tianfu Wang
中科院分区：
文献类型：
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作者：
Qiaoliang Li;Huisheng Zhang;S. Qi;Mingbo Qiu;Xin Chen;Siping Chen;Tianfu Wang
肌肉横截面积纵横比是诊断和康复评估中最广泛使用的量化肌肉功能的参数之一。超声成像作为一种可靠的方法，已被广泛用于无创研究人体肌肉的特性。然而，传统的纵横比测量是通过参考点的手动数字化来进行的;因此，它是主观的，耗时的，并且容易出错。本文提出了一种新的方法来连续检测肌肉长宽比。在第一帧的横向和纵向边界上手动数字化两个关键点对，并在随后的帧中通过光流技术自动跟踪。由此，基于所估计的肌肉宽度和厚度来获得肌肉纵横比。使用来自不同受试者的六个超声序列来评估该方法，手动方法和建议方法之间的结果的总体多重相关系数为0.97 ± 0.02。线性回归表明，两种方法的测定结果之间具有良好的线性相关性（R2 = 0.974），差值为-0.01 ± 0.16。本文提出的方法为人体运动过程中肌肉长宽比的估计提供了一种准确、高重复性和高效的方法，从而证明了其在生物科学中的应用。
Muscle aspect ratio of cross-sectional area is one of the most widely used parameters for quantifying muscle function in both diagnosis and rehabilitation assessment. Ultrasound imaging has been frequently used to noninvasively study the characteristics of human muscles as a reliable method. However, the aspect ratio measurement is traditionally conducted by the manual digitization of reference points; thus, it is subjective, time-consuming, and prone to errors. In this paper, a novel method is proposed to continuously detect the muscle aspect ratio. Two keypoint pairs are manually digitized on the lateral and longitudinal borders at the first frame, and automatically tracked by an optical flow technique at the subsequent frames. The muscle aspect ratio is thereby obtained based on the estimated muscle width and thickness. Six ultrasound sequences from different subjects are used to evaluate this method, and the overall coefficient of multiple correlation of the results between manual and proposed methods is 0.97 ± 0.02. The linear regression shows that a good linear correlation between the results of the two methods is obtained (R2 = 0.974), with difference -0.01 ± 0.16. The method proposed here provides an accurate, high repeatable, and efficient approach for estimating muscle aspect ratio during human motion, thus justifying its application in biological sciences.