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Automatic Estimation of Biceps Brachi Muscle Thickness in B-Mode Ultrasound Images

机译:B型超声图像中肱二头肌肱肌厚度的自动估计

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摘要

Muscle thickness is an important parameter used for quantifying musculoskeletal function. At present, the muscle thickness measurement relies on the manual method, which is subjective, time-consuming, and prone to error. In this paper, a novel automatic calculation method was proposed to achieve the continuous and quantitative measurement for the muscle thickness of biceps brachi in ultrasound images. The proposed method includes three steps: the detection and tracking of the seed point in the superficial aponeurosis, the detection and tracking of the feature line in the deep aponeurosis, and the muscle thickness estimation. The performance of the proposed method was firstly compared to the manual measured results, which demonstrates that they have a good agreement during the experiment and can be used for efficiently estimating the muscle thickness of biceps brachi in the musculoskeletal ultrasound images. Then, the validated method was employed to investigate the relationship between the muscle thickness and the joint angle. The results show that, the elbow flexion and extension angle has an approximately linear relationship with muscle thickness change.
机译:肌肉厚度是用于量化肌肉骨骼功能的重要参数。当前,肌肉厚度测量依靠手动方法,这是主观的,费时的并且容易出错。本文提出了一种新颖的自动计算方法,以实现对肱二头肌的超声图像中肌肉厚度的连续定量测量。所提出的方法包括三个步骤:浅层腱膜中种子点的检测和跟踪,深层腱膜中特征线的检测和跟踪以及肌肉厚度估计。首先将所提出的方法的性能与手工测量的结果进行了比较,这表明它们在实验过程中具有良好的一致性,可用于有效地估计肌肉骨骼超声图像中肱二头肌的肌肉厚度。然后,采用经过验证的方法研究肌肉厚度与关节角度之间的关系。结果表明,肘关节屈伸角度与肌肉厚度变化呈近似线性关系。

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