Zolgharni, Massoud, Dhutia, Niti M., Cole, Graham D. , Bahmanyar, M. Reza, Jones, Siana, Sohaib, S. M. Afzal, Tai, Sarah B., Willson, Keith, 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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Automated Aortic Doppler Flow Tracing for Reproducible Research and Clinical Measurements.pdf - Whole Document Restricted to Repository staff only 1MB | |
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ID Code 19616.pdf - Whole Document 1MB |
Item Type: | Article |
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Item Status: | Live Archive |
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 |
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Subjects: | B Subjects allied to Medicine > B800 Medical Technology H Engineering > H673 Bioengineering |
Divisions: | College of Science > School of Computer Science |
Related URLs: | |
ID Code: | 19616 |
Deposited On: | 19 Nov 2015 13:58 |
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