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心肌超声回波包络统计特性估计方法。

Methods for estimation of statistical properties of envelopes of ultrasonic echoes from myocardium.

出版信息

IEEE Trans Med Imaging. 1987;6(4):281-91. doi: 10.1109/TMI.1987.4307844.

Abstract

Several investigators have characterized various forms of heart disease from the statistical properties of envelopes of ultrasonic echos from myocardium. In particular, the mean-to-standard deviation ratio (MSR), skewness, and kurtosis of the envelope probability density function have been used for the detection of myocardial ischemia, infarction, reperfusion, and hypertrophy. In this paper, the effects of phenomena other than tissue acoustic properties upon estimates of statistical parameters are investigated. These include system characteristics (center frequency, bandwidth, beam width, etc.), sample volume dimensions, and tissue velocity. In myocardium, relatively small amounts of tissue are available for interrogation. It is shown that, under these limited data acquisition conditions, substantial systematic biases in the estimates of statistical parameters may occur. Analytic forms for errors in the envelope variance estimate are derived. Estimation of the envelope mean, variance, MSR, skewness, and kurtosis is investigated experimentally, using a commercial medical ultrasound scanner and a tissue-mimicking phantom.

摘要

几位研究人员已经从心肌超声回波包络的统计特性出发,对各种形式的心脏病进行了描述。特别是,包络概率密度函数的均值与标准差之比(MSR)、偏度和峰度已被用于检测心肌缺血、梗塞、再灌注和肥大。在本文中,研究了除组织声特性之外的其他现象对统计参数估计的影响。这些包括系统特性(中心频率、带宽、波束宽度等)、样本体积尺寸和组织速度。在心外膜中,可用于询问的组织相对较少。结果表明,在这些有限的数据采集条件下,统计参数的估计可能会出现较大的系统偏差。推导出了包络方差估计误差的解析形式。使用商业医疗超声扫描仪和组织模拟体对包络均值、方差、MSR、偏度和峰度进行了实验估计。

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