4.7 Article

Automated Aortic Doppler Flow Tracing for Reproducible Research and Clinical Measurements

期刊

IEEE TRANSACTIONS ON MEDICAL IMAGING
卷 33, 期 5, 页码 1071-1082

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2014.2303782

关键词

Doppler measurements; echocardiography; ultrasound imaging

资金

  1. European Research Council [281524]
  2. European Research Council (ERC) [281524] Funding Source: European Research Council (ERC)
  3. British Heart Foundation [FS/12/12/29294, FS/11/92/29122, FS/10/38/28268, SP/10/002/28189] Funding Source: researchfish
  4. National Institute for Health Research [ACF-2009-21-008] Funding Source: researchfish

向作者/读者索取更多资源

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 (R-2 = 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 (R-2 = 0.90 to 0.96, SD = 1.05 to 1.53). The same performance was observed for peak-velocities; ((R-2 = 0.98, SD = 3.07 cm/s) and (to (R-2 = 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.

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