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首页> 外文会议>International Conference on Telecommunications and Signal Processing >Using high-frequency ultrasound statistical scattering model to assess Nonalcoholic Fatty Liver Disease (NAFLD) in mice
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Using high-frequency ultrasound statistical scattering model to assess Nonalcoholic Fatty Liver Disease (NAFLD) in mice

机译：使用高频超声统计散射模型评估小鼠非酒精性脂肪性肝病（NAFLD）

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摘要

In non-invasive ultrasound (US) imaging, diagnosis of Nonalcoholic Fatty Liver Disease (NAFLD) often depends on the subjective judgment of the image brightness and speckle uniformity. In order to assist the differentiation between the NAFLD and the normal liver in US diagnoses, quantitative tissue characterization based on acoustic backscattering behaviors are performed using high-frequency US system in mice. Two statistical models of acoustic scattering, Nakagami and Acoustic Structure Quantification (ASQ), are compared in this study. Simulations of random Rayleigh amplitudes indicate an reciprocal relation between the scattering parameters of the two models. In animal experiments, mice were fed with high-fat diet for 12 weeks to induce NAFLD. Experimental results demonstrated that, though both models can distinguish normal liver and NAFLD liver with statistical conference, ASQ appears to be more stable and provides higher sensitivity.
机译：在非侵入性超声（US）成像中，非酒精性脂肪肝疾病（NAFLD）的诊断通常取决于图像亮度和斑点均匀性的主观判断。为了在美国诊断中帮助区分NAFLD和正常肝脏，使用高频US系统在小鼠中进行了基于声学反向散射行为的定量组织表征。在这项研究中，比较了两种声学散射统计模型，Nakagami和声学结构量化（ASQ）。随机瑞利振幅的仿真表明两个模型的散射参数之间存在倒数关系。在动物实验中，高脂饮食喂养小鼠12周以诱导NAFLD。实验结果表明，尽管两种模型都能通过统计会议区分正常肝脏和NAFLD肝脏，但ASQ似乎更稳定并具有更高的敏感性。

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