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Using Empirical Mode Decomposition of Backscattered Ultrasound Signal Power Spectrum for Assessment of Tissue Compression

机译:使用反向散射超声信号功率谱的经验模式分解来评估组织压缩

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摘要

Quantitative ultrasound has been widely used for tissue characterization. In this paper we propose a new approach for tissue compression assessment. The proposed method employs the relation between the tissue scatterers' local spatial distribution and the resulting frequency power spectrum of the backscattered ultrasonic signal. We show that due to spatial distribution of the scatterers, the power spectrum exhibits characteristic variations. These variations can be extracted using the empirical mode decomposition and analyzed. Validation of our approach is performed by simulations and in-vitro experiments using a tissue sample under compression. The scatterers in the compressed tissue sample approach each other and consequently, the power spectrum of the backscattered signal is modified. We present how to assess this phenomenon with our method. The proposed in this paper approach is general and may provide useful information on tissue scattering properties.
机译:定量超声已广泛用于组织表征。在本文中,我们提出了一种用于组织压缩评估的新方法。所提出的方法利用了组织散射体的局部空间分布与反向散射超声信号的频谱功率谱之间的关系。我们表明,由于散射体的空间分布,功率谱表现出特征变化。可以使用经验模式分解来提取这些变化并进行分析。我们的方法的验证是通过模拟和体外实验使用压缩的组织样本进行的。压缩组织样本中的散射体彼此接近,因此,反向散射信号的功率谱被修改。我们介绍如何用我们的方法评估这种现象。本文提出的方法是通用的,可以提供有关组织散射特性的有用信息。

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