基于振荡波数的浅表软组织界面信号特征分析  

Feature analysis of superficial soft tissue interface based on wave numbers

作　　者：廖长义[1] 王华[1] 周慧婷[1] 汤旭东[1] 

机构地区：[1]重庆医科大学生物医学工程学院,省部共建超声医学工程国家重点实验室,超声医学工程重庆市市级重点实验室,重庆400016

出　　处：《南方医科大学学报》2011年第12期1981-1984,共4页Journal of Southern Medical University

基　　金：国家重点基础研究发展计划(973计划)(2011CB707902)~~

摘　　要：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。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.

关 键 词：浅表软组织 多层界面 信号识别 计算机模拟 

分 类 号：R318[医药卫生—生物医学工程]