Key result
A PID-based phase-compensation algorithm increased image intensity in high-velocity regions by up to 6 dB and enabled echoPIV to measure 27% higher vector velocities in patient data.
Why the study?
In fast blood flow, contrast agent displacement between pulses causes phase shifts and signal loss in pulse-inversion ultrasound, hindering flow tracking with echoPIV.
Does a PID-based phase-compensation algorithm improve image intensity and blood flow estimation in high-frame-rate contrast-enhanced ultrasound?
Does a PID-based phase-compensation algorithm improve image intensity and blood flow estimation in high-frame-rate contrast-enhanced ultrasound?
Effect estimate: up to 6 dB increase; 27% higher vector velocities
A novel PID-based phase-compensation algorithm reduces signal loss in fast-flow high-frame-rate contrast-enhanced ultrasound, improving blood flow estimation.
OBJECTIVE: High-frame-rate (HFR) ultrasonic imaging combined with an ultrasound contrast agent (UCA) can be used to study blood flow patterns using echo-particle image velocimetry (echoPIV). Pulse inversion is a common contrast-specific multipulsing scheme for suppressing tissue clutter in ultrasound images while selectively enhancing nonlinear signals from the UCA. However, in fast flow, the displacement of UCA between pulses leads to phase shifts in the echoes that may result in loss of UCA signal, hindering blood flow tracking with echoPIV. METHODS: In the present work, a phase-compensation algorithm is proposed to reduce motion-induced signal loss in HFR contrast-enhanced ultrasound imaging using pulse-inversion Doppler (PID). RESULTS: The PID-based phase-compensation algorithm increased image intensity in the high-velocity regions by up to 6 dB in both in vitro and patient data. Also, after PID-based phase compensation, echoPIV was able to measure 27% higher vector velocities in the patient data. CONCLUSION: The results reveal the feasibility of PID-based phase compensation for reducing signal loss in fast-flow HFR contrast-enhanced ultrasound and its potential for improving blood flow estimation.
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Huang et al. (2025) studied this question. PID-based phase-compensation algorithm vs. Standard imaging without phase compensation was evaluated on Image intensity in high-velocity regions and vector velocities measured by echoPIV (up to 6 dB increase; 27% higher vector velocities). A PID-based phase-compensation algorithm increased image intensity in high-velocity regions by up to 6 dB and enabled echoPIV to measure 27% higher vector velocities in patient data.
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