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Burr、Lomax、Pareto 和 Logistic 分布源自超声散斑。

Burr, Lomax, Pareto, and Logistic Distributions from Ultrasound Speckle.

机构信息

Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA.

Department of Mechanical Engineering, University of Rochester, Rochester, NY, USA.

出版信息

Ultrason Imaging. 2020 Jul-Sep;42(4-5):203-212. doi: 10.1177/0161734620930621. Epub 2020 Jun 2.

Abstract

After 100 years of theoretical treatment of speckle patterns from coherent illumination, there remain some open questions about the nature of ultrasound speckle from soft vascularized tissues. A recent hypothesis is that the fractal branching vasculature is responsible for the dominant echo pattern from organs such as the liver. In that case, an analysis of cylindrical scattering structures arranged across a power law distribution of sizes is warranted. Using a simple model of echo strength and basic transformation rules from probability, we derive the first order statistics of speckle considering the amplitude, the intensity, and the natural log of amplitude. The results are given by long tailed distributions that have been studied in the statistics literature for other fields. Examples are given from simulations and animal studies, and the theoretical fit to these preliminary data support the overall framework as a plausible model for characterizing ultrasound speckle statistics.

摘要

经过 100 年来对相干照明下散斑模式的理论处理,对于来自软血管化组织的超声散斑的性质仍然存在一些悬而未决的问题。最近的一个假设是,分形分支血管系统是肝脏等器官的主要回波模式的原因。在这种情况下,有必要对沿幂律分布排列的圆柱状散射结构进行分析。使用回声强度的简单模型和来自概率的基本变换规则,我们考虑幅度、强度和幅度的自然对数来推导散斑的一阶统计量。结果是长尾分布,在统计学文献中,这些分布已经在其他领域进行了研究。从模拟和动物研究中给出了示例,并且对这些初步数据的理论拟合支持了该整体框架作为用于描述超声散斑统计特性的合理模型。

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