摘要
超声多普勒成像被广泛应用于血流速度测量及人体循环系统的诊断分析。为了从超声回波信号中提取有价值的血流多普勒信号,分析了血流反射信号、血管壁散射信号和其他一些噪声信号的各种性质及分布特点,应用基于时频、子空间分离等信号分离方法,解决了超声成像中广泛存在的非有用信号的去除问题,较之简单的壁滤波处理,更具优越性,从而有利于后续信号处理及最终成像结果。
Ultrasound Doppler imaging is widely used in measuring the velocity of blood and diagnosis of human circulation system. To extract Doppler blood signal from wall clutter and other noise signal, these signals＇ nature and statistical characteristics are investigated and compared. Nonlinear filtering method based on time-frequency and subspace are used for de-noising and removing other disturbing signals, which facilitates a high accuracy and reliability of the further parameter extraction and signal analysis.
出处
《医疗卫生装备》
CAS
2012年第12期87-89,共3页
Chinese Medical Equipment Journal
基金
川北医学院高教教改项目(11-06-074)
关键词
超声多普勒
声像图
信号处理
模式识别
ultrasound Doppler
sonography
signal processing
pattern recognition
