Acta Physica Sinica, Volume. 68, Issue 8, 084303-1(2019)

Ultrasonic echo processing method based on dual-Gaussian attenuation model

Da-Wei Wang1...2, Zhao-Ba Wang1,*, You-Xing Chen1, Hai-Yang Li1 and Hao-Kun Wang1 |Show fewer author(s)
Author Affiliations
  • 1School of Information and Communication Engineering, North University of China, Taiyuan 030051,China
  • 2School of Physics and Information Engineering, Shanxi Normal University, Linfen 041000, China
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    Figures & Tables(9)
    Flow chart of ultrasonic signal processing.超声信号处理流程图
    Envelope of ultrasonic echo model: (a) [a, b, T ] = [1.5, 2.5, 1]; (b) [a, b, T ] = [3, 3, 1]; (c) [a, b, T ] = [1.7, 3.2, 1]; (d) [a, b, T ] = [1, 3, 1].超声回波模型包络 (a) [a, b, T ] = [1.5, 2.5, 1]; (b) [a, b, T ] = [3, 3, 1]; (c) [a, b, T ] = [1.7, 3.2, 1]; (d) [a, b, T ] = [1, 3, 1]
    Simulation of ultrasonic echo: (a) Ideal ultrasonic signal; (b)noisy ultrasonic echo.仿真超声回波 (a)理想超声信号; (b)含噪超声回波
    Comparison of de-noising by different methods: (a) Noisy echo plotted in a black solid line, original signal plotted in a red dotted line; (b) signal de-noised by our proposed method; (c) signal de-noised by wavelet method; (d) signal de-noised by EMD method不同方法降噪结果对比 (a)黑色实线为含噪回波, 红色虚线为原始信号; (b)本文方法处理结果; (c)小波方法处理结果; (d) EMD方法处理结果
    Ultrasonic echo acquisition device.超声回波采集装置
    Comparison of different ultrasonic signal models.不同超声信号模型对比
    Comparison of measured ultrasonic echo processing results: (a) Measured ultrasonic echo; (b) measured ultrasonic echo contaminated by system noise; (c) echo processed by our proposed method; (d) echo processed by wavelet method; (e) echo processed by EMD method.实测超声回波处理结果对比 (a)实测超声回波; (b)混入系统噪声后的实测超声回波, 信噪比为–10 dB; (c)本文方法结果; (d)小波方法结果; (e) EMD方法结果
    • Table 1.

      Estimation error of transit time τ.

      渡越时间τ估计误差

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      Table 1.

      Estimation error of transit time τ.

      渡越时间τ估计误差

      输入SNR实际值/ ${\text{μ}}{\rm{s}}$估计值/ ${\text{μ}}{\rm{s}}$绝对误差/ ${\text{μ}}{\rm{s}}$相对误差/%
      10099.99790.00210.0021
      20 dB500499.97890.02110.0042
      800800.06540.06540.0082
      100100.12740.12740.1274
      10 dB500500.35140.35140.0703
      800800.47800.47800.0597
      100100.47910.47910.4791
      0 dB500500.77560.77560.1551
      800802.38192.38190.2977
      10098.61911.38091.3809
      –10 dB500504.40614.40610.8812
      800
    • Table 2.

      Comparison of denoising results using different methods.

      不同方法降噪结果对比

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      Table 2.

      Comparison of denoising results using different methods.

      不同方法降噪结果对比

      输入SNR方法MSENCCESNR/dB
      本文方法01.000049.7149
      20 dB小波方法00.999630.5339
      EMD方法00.997723.3946
      本文方法01.000042.1588
      10 dB小波方法0.00010.996321.3690
      EMD方法0.00020.990216.8283
      本文方法00.999732.3540
      0 dB小波方法0.00100.951210.1957
      EMD方法0.00140.94118.8503
      本文方法0.00030.985715.4456
      –10 dB小波方法0.00430.84393.8503
      EMD方法0.01000.71490.1636
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    Da-Wei Wang, Zhao-Ba Wang, You-Xing Chen, Hai-Yang Li, Hao-Kun Wang. Ultrasonic echo processing method based on dual-Gaussian attenuation model[J]. Acta Physica Sinica, 2019, 68(8): 084303-1

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    Paper Information

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    Received: Nov. 23, 2018

    Accepted: --

    Published Online: Oct. 29, 2019

    The Author Email:

    DOI:10.7498/aps.68.20182080

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