Development and Validation of a Phase-Filtered Moving Ensemble Correlation for Echo Particle Image Velocimetry
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Development and Validation of a Phase-Filtered Moving Ensemble Correlation for Echo Particle Image Velocimetry

Echocardiogram Particle Image Velocimetry (echoPIV) is an emerging method for cardiac flow visualization. EchoPIV tracks acoustic-opaque bubbles introduced into the blood stream using block-matching methods. Despite increased interest, echoPIV is not routinely performed, as contrast enhancement is not clinically indicated unless initial image quality is poor. Thus, high background noise and low contrast levels characterize most scans, which hinders echoPIV from producing accurate measurements. To achieve clinical acceptance, it is necessary to develop processing strategies that improve accuracy and robustness. We adopted a short time moving window ensemble (MWE) correlation to improve echoPIV flow measurements on low image quality scans.  The MWE method yielded a two-fold improvement in bias and random error. Subsequently, a clinical cohort of patients with diastolic dysfunction was evaluated and showed significant accuracy improvements. This new approach enables a more robust processing of routine clinical scans and can increase the utility of EchoPIV for the assessment of left ventricular function.

Streamtraces from echoPIV measurements for pairwise and moving ensemble methods. The moving ensemble results are physically consistent, resolving an inflow filling jet and a vortex pair in the left ventricle.

PAPER REFERENCE

Meyers, Brett A., Craig J. Goergen, and Pavlos P. Vlachos. “Development and Validation of a Phase-Filtered Moving Ensemble Correlation for Echocardiographic Particle Image Velocimetry.” Ultrasound in medicine & biology 44.2 (2018): 477-488.

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