Key result
A new dual-angle vector flow imaging framework successfully derived 2D flow vectors comparable to particle image velocimetry with relative errors of -14.5% (fast phase) and 35.2% (slow phase).
Why the study?
Existing 2D flow vector estimation using dual-angle Doppler with a sector probe was prone to aliasing artifacts because dual-angle transmissions halved the PRF and Nyquist flow speed.
Does a dual-PRF dual-angle vector flow imaging framework improve 2D flow vector estimation compared to conventional methods in a flow phantom?
Does a dual-PRF dual-angle vector flow imaging framework improve 2D flow vector estimation compared to conventional methods in a flow phantom?
A novel dual-PRF dual-angle vector flow imaging framework successfully extends the Nyquist velocity and corrects aliasing artifacts in echocardiographic flow estimation.
To enable quantitative assessments of multi-directional blood flow dynamics such as those in the heart, a two-dimensional (2D) flow vector estimation method using dual-angle Doppler measurements with a sector ultrasound probe was developed. However, that technique was prone to aliasing artifacts because the dual-angle transmissions reduced the pulse repetition frequency (PRF) and Nyquist flow speed by half for each Doppler measurement. To overcome this problem, this study devised a new dual-angle vector flow imaging framework with extended Nyquist velocity using the dual-PRF de-aliasing method. In the proposed framework, the Nyquist flow speed was doubled to 930 mm s −1 compared with the conventional dual-angle approach. Imaging experiments demonstrated that the proposed framework could correct the aliasing artifacts in color Doppler frames and successfully derive 2D flow vectors comparable to particle image velocimetry measurements with a relative error of −14.5% in the fast and 35.2% in the slow flow phases in a pulsatile flow condition.
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Okada et al. (2023) studied Blood flow dynamics. Dual-angle vector flow imaging framework with extended Nyquist velocity using dual-PRF de-aliasing vs. Conventional dual-angle approach was evaluated on 2D flow vectors comparable to particle image velocimetry measurements. A new dual-angle vector flow imaging framework successfully derived 2D flow vectors comparable to particle image velocimetry with relative errors of -14.5% (fast phase) and 35.2% (slow phase).
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