基于平移不变离散小波的多普勒血流信号杂波抑制

李鹏; 冀晓燕; 喻罡; 卞正中

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基于平移不变离散小波的多普勒血流信号杂波抑制

专题研究 | 更新时间：2025-12-08

- 基于平移不变离散小波的多普勒血流信号杂波抑制
- Rejection of Clutter in Doppler Blood Flow Signals Based on Translation Invariant Discrete Wavelet Transform
- 西安交通大学学报 2007年41卷第4期页码：402-406
- 作者机构：
  
  西安交通大学生命科学与技术学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2006-07-21. 作者简介: 李鹏(1966～),男,博士生;卞正中(联系人),男,教授,博士生导师. 基金项目: 国家自然科学基金资助项目(60271022,60571006)
- DOI：
  中图分类号： TP274.53
- 网络首发：2007-04-10，
  
  纸质出版：2007
- 稿件说明：
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李鹏, 冀晓燕, 喻罡, 等. 基于平移不变离散小波的多普勒血流信号杂波抑制[J]. 西安交通大学学报, 2007,41(4):402-406.

李鹏, 冀晓燕, 喻罡, et al. Rejection of Clutter in Doppler Blood Flow Signals Based on Translation Invariant Discrete Wavelet Transform[J]. 2007, 41(4): 402-406.
李鹏, 冀晓燕, 喻罡, 等. 基于平移不变离散小波的多普勒血流信号杂波抑制[J]. 西安交通大学学报, 2007,41(4):402-406. DOI：

李鹏, 冀晓燕, 喻罡, et al. Rejection of Clutter in Doppler Blood Flow Signals Based on Translation Invariant Discrete Wavelet Transform[J]. 2007, 41(4): 402-406. DOI：

摘要

针对由血管壁和慢速运动组织产生的杂波会严重影响超声多普勒低速血流成分频谱估计的准确性问题

根据超声多普勒血流信号及杂波的特征

提出基于平移不变离散小波变换的抑制杂波方法

分别对仿真和实际超声颈动脉血流信号进行实验

并与高通滤波和离散小波变换方法进行比较.结果表明:经过平移不变离散小波变换方法抑制杂波后

信号的声谱图质量及性能指标均有明显改善

其中低速血流相对误差仅为4.86%

与高通滤波方法的相对误差10.28%和离散小波方法的相对误差7.26%相比

相对误差分别减小了5.42%和2.4%

低速血流成分频谱估计的准确性得到了提高.

Abstract

The clutter originating from the vibrated vascular wall and slowly moving tissue influences seriously the accuracy of the frequency spectrum estimation of the ultrasound low blood flow signal. A method based on the translation invariant discrete wavelet transform(TIDWT)was proposed for clutter rejection according to the characteristics of the Doppler blood flow signal and clutter. Both simulated and in vivo Doppler carotid signals were tested. The results were compared with those of the high pass filter(HPF)and the discrete wavelet transform(DWT). The experiments show that the improvement including the spectrogram and performance parameters obtained by TIDWT over the other methods was notable

the relative error of low velocity blood signal was only 4.86%

and reduced by 5.42% and 2.4% compared with 10.28% of HPF and 7.26% of DWT respectively

thus the low velocity blood estimation accuracy is improved obviously.

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Keywords

references

Jensen J A. Estimation of blood velocity using ultrasound: a signal processing approach [M]. Cambridge: Cambridge University Press, 1996.

陶倩, 汪源源, Jose C,等. 管壁和血流多普勒信号的分离研究[J].声学学报,2004,29(4):331-333.

Tao Qian, Wang Yuanyuan, Jose C, et al. Study on separation methods for wall clutter and Doppler blood signals[J]. Acta Acustica, 2004,29(4): 331-333.

Cloutier G, Chen D, Durand L G. A new clutter rejection algorithm for Doppler ultrasound[J]. IEEE Trans Medical Imaging, 2003, 22(4): 530-538.

Zhang Y, Cardoso J C, Wang Y, et al. Time-scale removal of “wall thump” in Doppler ultrasound signals: a simulation study[J]. IEEE Trans Ultrason Ferroelect Freq Contr, 2004, 51(9): 1187-1192.

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Evans D H. Some aspects of the relationship between instantaneous volumetric blood flow and continuous wave Doppler ultrasound recordings:Ⅲ[J]. Ultrasound Med Biol, 1982(9):617-623.

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