人体信号是随机性和背景噪声都很强的复杂信号。文章首先研究了利用超声Doppler技术定量检测血流速度的方法 ,然后将一些现代信息处理中的新理论、新方法引入医学超声的信息处理 ,为医学超声信息的特征提取提供了新的手段。这些理论包括 :分形、数学形态学、数量化、小波变换、极点轨迹和血管传输线模型等。文章最后阐述了利用上述新方法作为技术核心而研制的三套应用系统 :肺动脉血液动力学参数的无损估测系统、彩色编码的声谱系统和超声血流定量检测系统 Human body signals are complex signals with strong randomness and background noise. First of all, the paper studies the method of using Doppler technique to quantitatively detect the blood flow velocity, then introduces some new theories and methods of modern information processing into the information processing of medical ultrasound, which provides a new method for the feature extraction of medical ultrasound information. These theories include: fractal, mathematical morphology, quantification, wavelet transform, polar trajectory and vascular transmission line model. Finally, the article describes three sets of application systems developed by using the above new method as the core of technology: non-destructive evaluation system of pulmonary arterial hemodynamic parameters, color-coded sonography system and ultrasonic blood flow quantitative detection system