Key result
Empirical mode decomposition provides more accurate Doppler low blood flow measurements than traditional high-pass filters.
Why the study?
High-pass filters used in Doppler ultrasound to remove vessel wall components also remove low-frequency signals from slow-moving blood, reducing accuracy.
Does the empirical mode decomposition algorithm improve the removal of wall components in Doppler ultrasound signals compared to traditional high-pass filters?
Does the empirical mode decomposition algorithm improve the removal of wall components in Doppler ultrasound signals compared to traditional high-pass filters?
The empirical mode decomposition algorithm offers a superior method for filtering wall components in Doppler ultrasound, preserving slow-moving blood flow signals better than traditional high-pass filters.
May aid low-flow Doppler assessment; hypothesis-generating and requires prospective clinical validation before adoption.
Doppler ultrasound systems, used for the noninvasive detection of the vascular diseases, normally employ a high-pass filter (HPF) to remove the large, low-frequency components from the vessel wall from the blood flow signal. Unfortunately, the filter also removes the low-frequency Doppler signals arising from slow-moving blood. In this paper, we propose to use a novel technique, called the empirical mode decomposition (EMD), to remove the wall components from the mixed signals. The EMD is firstly to decompose a signal into a finite and usually small number of individual components named intrinsic mode functions (IMFs). Then a strategy based on the ratios between two adjacent values of the wall-to-blood signal ratio (WBSR) has been developed to automatically identify and remove the relevant IMFs that contribute to the wall components. This method is applied to process the simulated and clinical Doppler ultrasound signals. Compared with the results based on the traditional high-pass filter, the new approach obtains improved performance for wall components removal from the mixed signals effectively and objectively, and provides us with more accurate low blood flow.
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Zhang et al. (2007) studied Vascular diseases. Empirical mode decomposition (EMD) algorithm vs. Traditional high-pass filter (HPF) was evaluated on Removal of wall components from mixed signals and provision of accurate low blood flow. The empirical mode decomposition algorithm effectively removed wall components from Doppler ultrasound signals, providing more accurate low blood flow measurements compared to traditional high-pass filters.
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