DocumentCode :
2501700
Title :
Clutter Removal of Doppler Ultrasound Signal Using Double Density Discrete Wavelet Transform
Author :
Li, Peng ; Zhang, Hongqun ; Xing, Hongyan ; Wu, Dazhong
Author_Institution :
Coll. of Electron. & Inf. Eng., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
The strong clutter induced by stationary and slow moving tissue structures may distort the low frequency components of spectrogram and degrade the precision of clinical indices. A new wavelet method, the double density discrete wavelet transform (DD-DWT) combining the semisoft shrinkage function and a threshold with local variance estimation, is proposed for removing adaptively clutter components from Doppler ultrasound signals. The new method is tested with both simulated and in vivo Doppler blood signals, and compared with conventional high pass filter (HPF). The improvements in sonogram and signal-to-clutter (S/C) ratio of Doppler signals filtered by new method over HPF are noticeable. For the simulated signal with S/C ratio -20 dB, the improvement in S/C ratio is 22.51 dB by new method, but 22.05 dB by HPF. The low frequency part of resultant sonograms verifies that the new method can effectively remove clutter components and retain more low flow signal simultaneously.
Keywords :
Doppler measurement; biological tissues; biomedical ultrasonics; blood vessels; clutter; discrete wavelet transforms; filtering theory; haemodynamics; medical signal processing; DD-DWT; Doppler ultrasound signal filtering method; adaptive clutter component removal; conventional high pass filter comparison; double density discrete wavelet transform; in vivo Doppler blood flow signals; local variance estimation; precise clinical indices; semisoft shrinkage function; signal-to-clutter ratio; slow moving tissue structure induced clutter; sonogram; spectrogram low frequency components; stationary moving tissue structure; Blood; Degradation; Discrete wavelet transforms; Filters; Frequency; In vivo; Sonogram; Spectrogram; Testing; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5162517
Filename :
5162517
Link To Document :
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