Automated aortic Doppler flow tracing for reproducible research and clinical measurements

Zolgharni, Massoud and Dhutia, Niti M. and Cole, Graham D. and Bahmanyar, M. Reza and Jones, Siana and Sohaib, S. M. Afzal and Tai, Sarah B. and Willson, Keith and Finegold, Judith A. and Francis, Darrel P. (2014) Automated aortic Doppler flow tracing for reproducible research and clinical measurements. IEEE Transactions on Medical Imaging, 33 (5). pp. 1071-1082. ISSN 0278-0062

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Item Type:Article
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Abstract

In clinical practice, echocardiographers are often unkeen to make the significant 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 analyze more beats, we present the description of an application system for automated aortic Doppler envelope quantification, compatible with a range of hardware platforms. It analyses long Doppler strips, spanning many heartbeats, and does not require electrocardiogram to separate 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 = 1.39 cm) with the reference consensus expert values, and indeed performed as well as the individual experts ( R2 = 0.90 to 0.96, SD = 1.05 to 1.53 cm). The same performance was observed for peak-velocities; ( R2 = 0.98, SD = 3.07 cm/s) and ( R2 = 0.93 to 0.98, SD = 2.96 to 5.18 cm/s). This automated technology allows > 10 times as many beats to be analyzed compared to the conventional manual approach. This would make clinical and research protocols more precise for the same operator effort.

Keywords:Doppler measurements, echocardiography, ultrasound imaging, NotOAChecked
Subjects:B Subjects allied to Medicine > B800 Medical Technology
H Engineering > H673 Bioengineering
Divisions:College of Science > School of Computer Science
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ID Code:19616
Deposited On:19 Nov 2015 13:58

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