小波技术在消除全聚焦成像中伪像的研究  被引量:2

Research on Wavelet Denoising Technology for Removing Artifacts in TFM Imaging

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作  者:韩松 李振宁 Han Song;Li Zhenning(Guangzhou Doppler Electronic Technologies Incorporated Company,Guangzhou 510760)

机构地区:[1]广州多浦乐电子科技股份有限公司,广州市510760

出  处:《仪器仪表标准化与计量》2022年第2期43-45,共3页Instrument Standardization & Metrology

摘  要:本文主要介绍了运用小波降噪技术消除全聚焦成像(TFM)中的伪像的方法,解决由全聚焦传统实现方法所引入的伪像问题。根据全聚焦伪像的成像特点,通过对DB4小波的分析,设计了一种改进型的小波滤波器设计结构,该滤波器具有较低的运算复杂度。实验结果表明,该改进型小波滤波器在全聚焦成像过程中对真正的缺陷回波信号不产生影响,同时又能有效的消除伪像。The paper mainly introduces the method of using wavelet de-noising technology to remove the artifacts in TFM. It solves the problem of artifacts introduced by traditional TFM implementation methods. Through the analysis of DB4 wavelet, the principle of noise reduction and its relative advantages in practical application are proposed. The design and effect of “wall filter”, IIR filter and improved wavelet filter in medical color Doppler ultrasound technology are compared as well. Through the comparison, the design and advantages of improved wavelet filter are obtained, the design parameters of the improved wavelet filter are determined by the algorithm improvement, and the new calculation amount is evaluated.

关 键 词:小波降噪 全聚焦成像 消除伪像 超声波 无损检测 希尔伯特变换 

分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] TN713[自动化与计算机技术—计算机科学与技术]

 

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