关键词:小波变换;多尺度;声谱图;最大频率曲线
摘 要 :超声多普勒声谱技术在医学临床上应用时,往往需从声谱上计算声谱参数,这些参数已被用作医学诊断的依据。为了利用计算机对声谱图参数进行自动提取,本文提出了应用基于Mallat算法分析信号在小波变换后不同尺度性质的方法,在最大频率曲线上识别特征点,从而获得声谱图参数。应用该方法的仿真和临床实验都取得了较好的结果。
分类号 :R318.04; R445.1
EXTRACTION OFSONOGRAM PARAMETERS
USING WAVELET TRANSFORM
Liu Bin Wang Yuanyuan Wang Weiqi
(Department ofElectronic Engineering, Fudan University, Shanghai 200433)
ABSTRACT :With the more and more clinicaluse of Doppler ultrasound technique, some sonogram parameters have been found to berelated to blood flow situations. In order to extract sonogram parameters automatically, amultiscale analysis method based on Mallat algorithm was proposed. The recognition ofcharacteristic points of a sonogram from its maximum-frequency curve under differentscales of the signal after the wavelet transform was described. The results of simulationand clinical use were both showed.
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