基于振荡波数的浅表软组织界面信号特征分析

摘要

Based on a simple deconvolution model of multi-layer interfaces, the reasons of wave number variation of the interfacial echo signal were analyzed to explore a method for feature recognition of the superficial soft tissue interfaces. The interfacial echo signal data were decomposed and reconstructed by Mallat multisolution analysis, with the number of the reconstructed interface signal as the feature. The results showed that the deconvolution model was effective for extracting the interface echo signal features in the superficial soft tissue and allowed identification and location of tissue defects.%基于超声射频回波信号,本文提出了一种多层介质界面超声检测回波信号的卷积模型,解释了界面信号振荡波数变化的原因,探讨一种识别浅表软组织介质界面回波信号的方法.实验选取浅表软组织超声射频回波信号,利用小波多分辨分析方法对信号进行分解和重构,并把重构信号振荡波数作为界面信号特征.计算机模拟和实验中结果表明,振荡波数可以有效地描述软组织界面信号特征,并应用振荡波数对浅表软组中的深、浅筋膜界面进行了识别和定位.