Statistical modeling of the radio-frequency signal for partially- and fully-developed speckle based on a generalized Gaussian model with application to echo cardiography
Statistical modeling of the radio-frequency signal for partially- and fully-developed speckle based on a generalized Gaussian model with application to echo cardiography
复制标题
DOI：
10.1109/tuffc.2007.515
复制
发表时间：
2007-10-01
影响因子：
3.6
通讯作者：
Friboulet, Denis
中科院分区：
文献类型：
--
作者：
Bernard, Olivier;Touil, Basma;Friboulet, Denis
我们以前已经表明，射频（RF）信号的统计数据可以通过所谓的KRF分布忠实地建模，在从完全到部分发展的散斑的情况下。在本文中，我们证明了广义高斯提供了一个可靠的和计算方便的近似KRF。两种分布的参数估计的性能进行评估和比较，通过数值模拟的偏差和方差。该框架适用于超声心动图数据的建模。广义高斯模型从心脏组织（心肌）和血液区域的RF信号的能力证明在体内采集的数据。
We have shown previously that the statistics of the radio-frequency (RF) signals may be faithfully modeled through the so-called KRF distribution, in situations ranging from fully to part ially-developed speckle. We demonstrate in this paper that the generalized Gaussian provides a reliable and computationally convenient approximation of the KRF. 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.