NON-RAYLEIGH 1ST-ORDER STATISTICS OF ULTRASONIC BACKSCATTER FROM NORMAL MYOCARDIUM
NON-RAYLEIGH 1ST-ORDER STATISTICS OF ULTRASONIC BACKSCATTER FROM NORMAL MYOCARDIUM
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DOI：
10.1016/0301-5629(93)90124-7
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发表时间：
1993-01-01
影响因子：
2.9
通讯作者：
JAMES, D
中科院分区：
文献类型：
--
作者：
CLIFFORD, L;FITZGERALD, P;JAMES, D
从历史上看，人们一直认为心肌超声背向散射的一阶包络统计量最好由瑞利概率分布函数（PDF）描述;然而，很少有研究测试这一假设。本研究比较了包括Rayleigh在内的五种PDF描述体内犬心肌和体外人心肌的高频（5-15 MHz）超声背向散射的能力。所使用的PDF都是以前提出的描述从实质组织或其他随机介质的反向散射。在这项研究中，对在多个频率和声穿透角度下记录的反向散射进行的拟合优度测试表明，只有在少数情况下，包络是Rayleigh分布的。在大多数情况下，K分布提供最佳拟合。此外，计算机模拟表明，稀疏泊松散射可以产生K分布的后向散射。这种类型的散射可能有助于观察到的心肌反向散射的非Rayleigh特征。我们的结论是，瑞利分布是不是一个充分的描述从心肌背向散射。非Rayleigh分布可能为心肌组织定征提供另一种方法。
Historically, it has been assumed that the first-order envelope statistics of ultrasonic backscatter from myocardium are best described by the Rayleigh probability distribution function (PDF); however, few studies have tested this assumption. This study compares the ability of five PDFs, including the Rayleigh, to describe high-frequency (5-15 MHz) ultrasonic backscatter from in vivo canine myocardium and in vitro human myocardium. The PDFs used have all been previously proposed as descriptions of backscatter from parenchymal tissue or other random media. In this study goodness-of-fit testing of backscatter recorded at several frequencies and insonification angles shows that only in a minority of cases is the envelope Rayleigh-distributed. In most cases, the K distribution provides the best fit. In addition, computer simulation, shows that sparse Poisson scattering can produce K-distributed backscatter. Scattering of this type may contribute to the observed non-Rayleigh character of myocardial backscatter. We conclude that the Rayleigh distribution is not an adequate description of backscatter from myocardium. Non-Rayleigh distributions may offer an additional approach to myocardial tissue characterization.