Quadrature Doppler ultrasound signal denoising based on adapted local cosine transform.
- Author:
Xiaotao WANG
1
;
Yi SHEN
;
Zhiyan LIU
Author Information
1. Department of Control Science and Engineering, Harbin University of Technology, Harbin 150001, China. wangxt@hit.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Computer Simulation;
Fourier Analysis;
Humans;
Nonlinear Dynamics;
Signal Processing, Computer-Assisted;
Stochastic Processes;
Ultrasonics
- From:
Journal of Biomedical Engineering
2006;23(5):1114-1117
- CountryChina
- Language:Chinese
-
Abstract:
The spectrogram of Doppler ultrasound signal has been widely used in clinical diagnosis. The additional frequency components arising from internal or external noise to the system will produce adverse effects on its subjective and quantitative analysis. A novel approach based on the adapted local cosine transform and the non-negative Garrote thresholding method was proposed to remove noise from quadrature Doppler signal. At first, the directional information was extracted from the quadrature signal. And then the denoising method based on the adapted local cosine transform is performed on the forward and backward flow signals, respectively. At last, the estimated signal was reconstructed from the denoised signals using Hilbert transform. In the simulation study, both the mean frequency and spectral width waveform were studied for the denoised signal. The simulation results had shown that this approach was superior to that based on the wavelet transform, especially under low SNR conditions.
