Key result
The proposed Hankel-SVD based method outperformed traditional IIR and polynomial regression filters in attenuating high intense non-stationary clutter signals in ultrasound color Doppler imaging.
The Hankel-SVD method provides superior non-stationary clutter rejection in ultrasound color Doppler imaging compared to traditional filters, improving the distinction between blood and tissue.
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Hankel-SVD may improve clutter rejection in color Doppler; leaves open clinical validation before practice adoption.
Effective rejection of the time-varying clutter originating from slowly moving vessels and surrounding tissues is very important for depicting hemodynamics in ultrasound color Doppler imaging. In this paper, a new adaptive clutter rejection method based on Hankel Singular Value Decomposition (Hankel-SVD) is presented for suppressing non-stationary clutter. In the proposed method, a Hankel data matrix is created for each slow-time ensemble. Then the orthogonal principle Hankel components can be obtained through the SVD of the Hankel data matrix. It achieves non-stationary clutter suppression by reconstructing the flow signal with only the high order principle Hankel components, which are estimated from the frequency content carried by the principle Hankel components. To assess its efficiency, the proposed Hankel-SVD based method is applied to synthetic slow-time data obtained from a Doppler flow model and carotid arterial complex baseband data acquired by a commercial ultrasound system (Sonix RP). The resulting flow and power images show that the proposed method outperforms the traditional IIR and polynomials regression filter in attenuation of high intense non-stationary clutter signal. It is also adaptive to highly spatially-varying tissue motion and can automatically select the order of the filter, which leads to improved distinguishing between blood and tissue regions compared to other eigen-based filters.
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Wang et al. (2015) studied Ultrasound color Doppler imaging. Hankel-SVD based adaptive clutter rejection method vs. Traditional IIR and polynomials regression filters was evaluated on Attenuation of high intense non-stationary clutter signal and distinguishing between blood and tissue regions. The proposed Hankel-SVD based method outperformed traditional IIR and polynomial regression filters in attenuating high intense non-stationary clutter signals in ultrasound color Doppler imaging.