Paper
20 March 2014 Feasibility of using a reliable automated Doppler flow velocity measurements for research and clinical practices
Massoud Zolgharni, Niti M. Dhutia, Graham D. Cole, Keith Willson, Darrel P. Francis
Author Affiliations +
Abstract
Echocardiographers are often unkeen to make the considerable time investment to make additional multiple measurements of Doppler velocity. Main hurdle to obtaining multiple measurements is the time required to manually trace a series of Doppler traces. To make it easier to analyse more beats, we present an automated system for Doppler envelope quantification. It analyses long Doppler strips, spanning many heartbeats, and does not require the electrocardiogram to isolate individual beats. We tested its measurement of velocity-time-integral and peak-velocity against the reference standard defined as the average of three experts who each made three separate measurements. The automated measurements of velocity-time-integral showed strong correspondence (R2 = 0.94) and good Bland-Altman agreement (SD = 6.92%) with the reference consensus expert values, and indeed performed as well as the individual experts (R2 = 0.90 to 0.96, SD = 5.66% to 7.64%). The same performance was observed for peak-velocities; (R2 = 0.98, SD = 2.95%) and (R2 = 0.93 to 0.98, SD = 2.94% to 5.12%). This automated technology allows <10 times as many beats to be acquired and analysed compared to the conventional manual approach, with each beat maintaining its accuracy.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Massoud Zolgharni, Niti M. Dhutia, Graham D. Cole, Keith Willson, and Darrel P. Francis "Feasibility of using a reliable automated Doppler flow velocity measurements for research and clinical practices", Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 90401D (20 March 2014); https://doi.org/10.1117/12.2042645
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Doppler effect

Doppler tomography

Velocity measurements

Electrocardiography

Image segmentation

Echocardiography

Heart

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