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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Statistical Modeling of the Radio-Frequency Signal for Partially- and Fully-Developed Speckle Based on a Generalized Gaussian Model with Application to Echocardiography
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Statistical Modeling of the Radio-Frequency Signal for Partially- and Fully-Developed Speckle Based on a Generalized Gaussian Model with Application to Echocardiography

机译:基于广义高斯模型的部分和完全散斑的射频信号的统计建模及其在超声心动图中的应用

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摘要

We have shown previously that the statistics of the radio-frequency (RF) signals may be faithfully modeled through the so-called K RF distribution, in situations ranging from fully to partially-developed speckle. We demonstrate in this paper that the generalized Gaussian provides a reliable and computationally convenient approximation of the K RF. The performance of the parameters estimators for the two distributions is evaluated and compared in terms of their bias and variance through numerical simulations. This framework is applied to the modeling of echocardiographic data. The ability of the generalized Gaussian to model RF signals from cardiac tissues (myocardium) and blood regions is demonstrated on data acquired in vivo.
机译:先前我们已经表明,在从完全散斑到部分散斑的情况下,可以通过所谓的K RF分布忠实地建模射频(RF)信号的统计数据。我们在本文中证明,广义高斯提供了K RF的可靠且计算方便的近似。通过数值模拟评估并比较了两个分布的参数估计器的性能,并比较了它们的偏差和方差。该框架适用于超声心动图数据的建模。体内获取的数据证明了广义高斯模型对来自心脏组织(心肌)和血液区域的RF信号建模的能力。

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