Regional Upstroke Tracking for Transit Time Detection to Improve the Ultrasound-Based Local PWV Estimation in Carotid Arteries
Regional Upstroke Tracking for Transit Time Detection to Improve the Ultrasound-Based Local PWV Estimation in Carotid Arteries
复制标题
用于传输时间检测的区域上冲程跟踪，以改进颈动脉中基于超声的局部 PWV 估计
DOI：
10.1109/tuffc.2019.2951922
复制
发表时间：
2020-04-01
影响因子：
3.6
通讯作者：
Wu, Jun
中科院分区：
文献类型：
--
作者：
Deng, Li;Zhang, Yufeng;Wu, Jun
脉搏波速度（PWV）是衡量动脉弹性的最重要指标。准确估计局部PWV对动脉硬化的早期诊断和有效预防具有重要意义。在基于超声传输时间的局部PWV估计中，由于反射波和超声噪声的影响，传播脉冲波上冲程中的时间基点位置不一致。在本研究中，提出了一种区域上冲程跟踪（RUT）方法，该方法涉及识别上冲程中最相似的tfp中心区域，以检测时间延迟，从而改善局部PWV估计。通过仿真和临床实验对5种不同跟踪点的RUT算法进行了评估。为了定量评价RUT算法，使用超声仿真模型计算了估计pwv的归一化均方根误差和标准差。利用Bland-Altman分析和变异系数（CV）对基于30名人类受试者的5种RUT算法的可重复性进行了评估。结果表明，与TFP方法相比，只有三个跟踪点的RUT算法对局部PWV的估计具有更高的准确度、精度和再现性。与TFP方法相比，RUT算法将平均误差从12.23% +/- 3.10%降低到7.13% +/- 2.31%，CVs从21.76%降低到13.39%。综上所述，本文提出的RUT算法在颈动脉局部PWV估计方面优于TFP方法。
Pulse wave velocity (PWV) is the most important index for quantifying the elasticity of an artery. The accurate estimation of the local PWV is of great relevance to the early diagnosis and effective prevention of arterial stiffness. In ultrasonic transit time-based local PWV estimation, the locations of time fiduciary point (TFP) in the upstrokes of the propagating pulse waves (PWs) are inconsistent because of the reflected waves and ultrasonic noise. In this study, a regional upstroke tracking (RUT) approach that involved identifying the most similar TFP-centered region in the upstrokes is proposed to detect the time delay for improving the local PWV estimation. Five RUT algorithms with different tracking points are assessed via simulation and clinical experiments. To quantitatively evaluate the RUT algorithms, the normalized root-mean-squared errors and standard deviations of the estimated PWVs are calculated using an ultrasound simulation model. The reproducibility of the five RUT algorithms based on 30 human subjects is also evaluated using the Bland-Altman analysis and coefficient of variation (CV). The obtained results show that the RUT algorithms with only three tracking points provide greater accuracy, precision, and reproducibility for the local PWV estimation than the TFP methods. Compared with the TFP methods, the RUT algorithms reduce the mean errors from 12.23% +/- 3.10% to 7.13% +/- 2.31%, as well as the CVs from 21.76% to 13.39%. In conclusion, the proposed RUT algorithms are superior to the TFP methods for local carotid PWV estimation.