[1]康维新,巩雪,李海峰.基于分层组织的超声时频信号对比分析[J].应用科技,2018,45(05):38-43,50.[doi:10.11991/yykj.201711006]
 KANG Weixin,GONG Xue,LI Haifeng.Contrastive analysis of ultrasonic time-frequency signals in laminated tissues[J].yykj,2018,45(05):38-43,50.[doi:10.11991/yykj.201711006]
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基于分层组织的超声时频信号对比分析(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第45卷
期数:
2018年05期
页码:
38-43,50
栏目:
现代电子技术
出版日期:
2018-09-15

文章信息/Info

Title:
Contrastive analysis of ultrasonic time-frequency signals in laminated tissues
作者:
康维新 巩雪 李海峰
哈尔滨工程大学 信息与通信工程学院, 黑龙江 哈尔滨 150001
Author(s):
KANG Weixin GONG Xue LI Haifeng
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
关键词:
生物组织微结构超声检测分层模型时频域信号最大值法能量比较法识别度
Keywords:
biological tissuemicrostructureultrasonic testinghierarchical modeltime-frequency domain signalmaximum amplitude methodenergy-scaled amplituderecognition rate
分类号:
TP206
DOI:
10.11991/yykj.201711006
文献标志码:
A
摘要:
针对生物组织微结构的超声检测问题,基于超声透射法在生物组织中的传播机理,建立分层软组织的时频域信号传输模型。为了描述生物组织结构变化对超声检测信号的影响,比较超声时频域信号对组织微结构变化的敏感情况,采用时频域信号对分层组织进行检测,采用最大值法和能量比较法对接收信号进行处理。仿真实验表明,时域信号对于组织的成分变化更为敏感,对生物微结构的检测性能更好, 能量比较法对信号变化的识别度更高。
Abstract:
Aiming at the ultrasound testing for biological tissue microstructure, based on the propagation mechanism of ultrasonic transmission method in biological tissue, this paper presents a time-frequency domain signal transmission model of laminated soft tissues. In order to describe the effect of biological tissue structure’s change on the ultrasonic detection signal, and to compare the sensitivity of ultrasonic time-frequency domain signal to changes in the microstructure of tissue, the time-frequency domain signal was used to detect the laminated structure, and the maximum amplitude method and the energy-scaled amplitude were adopted to process the received signals. The simulation experiments show that the time domain signal is more sensitive to the change of tissue composition, and better for the detection performance of biological microstructure, while the energy-scaled method has higher resolution of signal changes.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2017-11-10。
作者简介:康维新(1963-),男,教授,博士生导师;巩雪(1991-),女,硕士研究生
通讯作者:巩雪,E-mail:gongxue@hrbeu.edu.cn
更新日期/Last Update: 2018-09-04