Quantitative Diagnosis of Liver Cirrhosis using Ultrasonic Image

为了实现肝硬化的定量诊断，我们利用射频回波信号和正常肝脏及肝硬化患者的B超图像对概率密度函数（PDF）进行了分析，并将两者的结果进行了比较，以检验射频回波信号的有效性，给出了正常肝脏和肝硬化患者的回波包络的统计特征，以及利用恒虚警率（CFAR）处理从正常和异常肝脏RF回波信号中提取散射体分布信息的技术。我们发现了提取的散射体分布与肝硬化的分期之间的定量关系。了解病变组织中的这一特征对于定量诊断是重要的。我们提出了一种技术来提取定量的三维信息，从一个动脉硬化的肝脏。扇形扫描获得的连续二维图像采用恒虚警率（CFAR）处理。累积2D处理的图像以获得3D信息。结果表明，该方法可用于肝硬化的定量诊断。

To realize quantitative diagnosis of liver cirrhosis, we analyze the probability density function (PDF) using RF echo signal and B-mode images of normal and cirrhotic livers, and compare both results to examine the validity of the RF echo signal.We present the statistical characteristics of the echo envelope of normal and cirrhotic livers, and the technique to extract information of the scatterer distribution from the normal and cirrhotic liver RF echo signal using constant false alarm rate (CFAR) processing. We found the quantitative relationship between the extracted scatterer distribution and the stage of liver cirrhosis.The cirrhotic liver has many fibrotic tissue structures known as nodule structures. Understanding this characteristic in diseased tissue is important for quantitative diagnosis. We present a technique to extract quantitative three-dimensional information from a cirrhotic liver. Consecutive two-dimensional images acquired by fan like scanning were processed using constant false alarm rate (CFAR). The 2D processed images are accumulated to obtain 3D information. The nodular structure is clear in the constructed images.It is found that the proposed technique is valid for the quantitative diagnosis of liver cirrhosis.