Rejection of Clutter in Doppler Blood Flow Signals Based on Translation Invariant Discrete Wavelet Transform

李鹏; 冀晓燕; 喻罡; 卞正中

您当前的位置：

首页 >

文章列表页 >

Rejection of Clutter in Doppler Blood Flow Signals Based on Translation Invariant Discrete Wavelet Transform

更新时间：2025-12-08

- Rejection of Clutter in Doppler Blood Flow Signals Based on Translation Invariant Discrete Wavelet Transform
- Vol. 41, Issue 4, Pages: 402-406(2007)
- 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：
- DOI：
  CLC： TP274.53
- Online First：10 April 2007，
  
  Published：2007
- 稿件说明：
移动端阅览
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：

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.

关键词

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.

Mo L Y L, Cobbold R S C. A unified approach to modeling the backscattered Doppler ultrasound from blood[J]. IEEE Trans Ultrason, Biomedical, 1992, 39(5): 450-461.

Selesnick I W, Baraniuk R G, Kingsbury N G. The dual-tree complex wavelet transform[J]. IEEE Signal Processing Magazine, 2005(12):123-151.

Resnikoff H L, Wells R O Jr. Wavelet analysis: the scalable structure of information[M]. New York: Spring-Verlag, 1998.

Beylkin G. On the representation of operators in bases of compactly supported wavelets[J]. SIAM J Numer Anal, 1992, 29(6): 1716-1740.

Berkner K. Smoothness estimates for soft-threshold de-noising via translation-invariant wavelet transforms[J]. Application and Computational Harmonic Analysis, 2002(12):1-24.

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.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Improved Auto-Correlation Algorithm for Doppler Fetal Heart Rate Detection

Turbulent Kinetic Energy Dissipation Mechanism of Supercritical Carbon Dioxide Leakage Flow in a Scallop Bionic Seal Cavity

Knowledge Graph Representation Learning Driven by Semantic Discrimination and Subgraph Integration

Integrated and Joint Design Optimization of Centrifugal Compressor Impeller and Casing Treatment at Multiple Working Points

I/O Performance Modeling and Prediction Method for Large-Scale Parallel Applications Using Machine Learning

Related Author

杨晓峰

张大龙

李鹏

卞正中

王波

Related Institution

No data

⁰