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A New Radial Strain and Strain Rate Estimation Method Using Autocorrelation for Carotid Artery

机译:基于自相关的颈动脉径向应变和应变率估计新方法

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Atherosclerosis is a leading cause of cardiovascular disease. The early diagnosis of atherosclerosis is of clinical interest since it can prevent any adverse effects of atherosclerotic vascular diseases. In this paper, a new carotid artery radial strain estimation method based on autocorrelation is presented. In the proposed method, the strain is first estimated by the autocorrelation of two complex signals from the consecutive frames. Then, the angular phase from autocorrelation is converted to strain and strain rate and they are analyzed over time. In addition, a 2D strain image over region of interest in a carotid artery can be displayed. To evaluate the feasibility of the proposed radial strain estimation method, radio-frequency (RF) data of 408 frames in the carotid artery of a volunteer were acquired by a commercial ultrasound system equipped with a research package (V10, Samsung Medison, Korea) by using a L5-13IS linear array transducer. From in vivo carotid artery data, the mean strain estimate was -0.1372 while its minimum and maximum values were -2.961 and 0.909, respectively. Moreover, the overall strain estimates are highly correlated with the reconstructed M-mode trace. Similar results were obtained from the estimation of the strain rate change over time. These results indicate that the proposed carotid artery radial strain estimation method is useful for assessing the arterial wall's stiffness noninvasively without increasing the computational complexity.
机译:动脉粥样硬化是心血管疾病的主要原因。动脉粥样硬化的早期诊断是临床兴趣,因为它可以防止动脉粥样硬化血管疾病的任何不利影响。本文介绍了一种基于自相关的新的颈动脉径向应变估计方法。在所提出的方法中,首先通过从连续帧的两个复杂信号的自相关来估计应变。然后,从自相关的角阶段转换为应变和应变速率,随着时间的推移分析它们。另外,可以显示在颈动脉中的感兴趣区域的2D应变图像。为了评估所提出的径向应变估计方法的可行性,通过配备有研究包(V10,三星ediSon,韩国)的商业超声系统来利用志愿者的颈动脉动脉中408帧的射频(RF)数据。使用L5-13IS线性阵列换能器。从体内颈动脉数据中,平均应变估计值为-0.1372,而其最小值和最大值分别为-2.961和0.909。此外,总应变估计与重建的M模式迹线高度相关。从估计应变速率随时间变化的估计获得了类似的结果。这些结果表明,所提出的颈动脉径向应变估计方法可用于在不增加计算复杂性的情况下无侵扰地评估动脉壁的刚度。

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