The wall signal removal in Doppler ultrasound systems based on recursive PCA.

Ultrasound Med Biol 2004 Mar;30(3):369-79

Department of Electronic Engineering, Fudan University, Shanghai, China.

In Doppler ultrasound (US) systems, a high-pass filter is usually employed to remove the wall component from the blood flow signal. However, this will lead to the loss of information from the low velocity flow. In this paper, an algorithm based on the principal components analysis (PCA) is proposed, in which singular value decomposition (SVD) is used to extract the main component from the mixed signals. Furthermore, the recursive process is incorporated into the PCA method to improve the performance of wall signal removal. This approach and the traditional high-pass filtering one are, respectively, applied to analyze the computer-simulated in vitro and in vivo Doppler US signals. With the proposed method, the wall signal can be removed while a large portion of low-velocity blood signal remains. Comparison experiments show that this novel approach can satisfy the requirements of Doppler US system and is practicable under a broad range of measurement conditions. Because this algorithm is based on real data, it is currently applied to unidirectional signals.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ultrasmedbio.2003.11.014DOI Listing
March 2004
5 Reads

Publication Analysis

Top Keywords

wall signal
12
algorithm based
8
signal removal
8
ultrasound systems
8
doppler ultrasound
8
pca method
4
wall
4
recursive process
4
process incorporated
4
incorporated pca
4
method improve
4
removal approach
4
doppler system
4
performance wall
4
improve performance
4
signals recursive
4
system practicable
4
main component
4
singular decomposition
4
decomposition svd
4

Altmetric Statistics

Similar Publications