Automated speckle tracking algorithm to aid on-axis imaging in echocardiography

Dhutia, Niti M., Cole, Graham D., Zolgharni, Massoud , Manisty, Charlotte H., Willson, Keith, Parker, Kim H., Hughes, Alun D. and Francis, Darrel P. (2014) Automated speckle tracking algorithm to aid on-axis imaging in echocardiography. Journal of Medical Imaging, 1 (3). 037001. ISSN 2329-4302

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Item Status:Live Archive


Obtaining a “correct” view in echocardiography is a subjective process in which an operator attempts to obtain images conforming to consensus standard views. Real-time objective quantification of image alignment may assist less experienced operators, but no reliable index yet exists. We present a fully automated algorithm for detecting incorrect medial/lateral translation of an ultrasound probe by image analysis. The ability of the algorithm to distinguish optimal from sub-optimal four-chamber images was compared to that of specialists—the current “gold-standard.” The orientation assessments produced by the automated algorithm correlated well with consensus visual assessments of the specialists (r=0.87r=0.87) and compared favourably with the correlation between individual specialists and the consensus, 0.82±0.09. Each individual specialist’s assessments were within the consensus of other specialists, 75±14% of the time, and the algorithm’s assessments were within the consensus of specialists 85% of the time. The mean discrepancy in probe translation values between individual specialists and their consensus was 0.97±0.87  cm, and between the automated algorithm and specialists’ consensus was 0.92±0.70  cm. This technology could be incorporated into hardware to provide real-time guidance for image optimisation—a potentially valuable tool both for training and quality control.

Keywords:Echocardiography, Speckle tracking, Ultrasound probe positioning, Automated guidance, NotOAChecked
Subjects:H Engineering > H673 Bioengineering
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:24900
Deposited On:04 Nov 2016 09:35

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