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首页> 外文期刊>Journal of Medical Devices >Automatic Measurement of End-Diastolic Arterial Lumen Diameter in ARTSENS
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Automatic Measurement of End-Diastolic Arterial Lumen Diameter in ARTSENS

机译:在ARTSENS中自动测量舒张末期动脉腔直径

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Over past few years, we are developing a system for facilitating large scale screening of patients for cardiovascular risk-arterial stiffness evaluation for noninvasive screening (ARTSENS). ARTSENS is an image-free device that uses a single element ultrasound transducer to obtain noninvasive measurements of arterial stiffness (AS) in a fully automated manner. AS is directly proportional to end-diastolic lumen diameter (D-d). Multilayered structure of the arterial walls and indistinct characteristics of intima-lumen interface (ILI) makes it quite difficult to accurately estimate D-d in A-mode radiofrequency (RF) frames obtained from ARTSENS. In this paper, we propose a few methods based on fitting simple mathematical models to the echoes from arterial walls, followed by a novel method to fuse the information from curve fitting error and distension curve to arrive at an accurate measure of D-d. To bring down the curve fitting time and facilitate processing on low-end processors, a novel approach using the autocorrelation of echoes from opposite walls of the artery has been discussed. The methods were analyzed for their comparative accuracy against reference D-d obtained from 85 human volunteers using Hitachi-Aloka eTRACKING system. D-d from all reported methods show strong and statistically significant positive correlation with eTRACKING and mean error of less than 7% could be achieved. As expected, D-d from all methods show significant positive correlation with age.
机译:在过去的几年中,我们正在开发一种系统,该系统有助于对患者进行大规模筛查,以进行无创筛查(ARTSENS)的心血管风险-动脉僵硬度评估。 ARTSENS是一种无图像的设备,它使用单元素超声换能器以全自动方式获得动脉硬度(AS)的非侵入性测量结果。 AS与舒张末期管腔直径(D-d)成正比。动脉壁的多层结构和内腔-内腔界面(ILI)的模糊特征使得很难准确估计从ARTSENS获得的A模式射频(RF)帧中的D-d。在本文中,我们提出了几种基于简单数学模型对动脉壁回波进行拟合的方法,然后提出了一种新颖的方法来融合曲线拟合误差和扩张曲线中的信息,从而获得准确的D-d量度。为了减少曲线拟合时间并促进在低端处理器上的处理,已经讨论了一种使用自动脉相对壁回波的自相关的新方法。使用Hitachi-Aloka eTRACKING系统分析了这些方法相对于从85位人类志愿者获得的参考D-d的比较准确性。所有报道的方法中的D-d与eTRACKING均显示出强大且统计学上显着的正相关,且平均误差可小于7%。不出所料,所有方法的D-d与年龄呈显着正相关。

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