Special Section on Medical Image Perception and Observer Performance

CUQI: cardiac ultrasound video quality index

[+] Author Affiliations
Manzoor Razaak, Maria G. Martini

Kingston University, Wireless and Multimedia Networking Research Group, Penhryn Road, Kingston upon Thames, KT1 2EE, London, United Kingdom

J. Med. Imag. 3(1), 011011 (Mar 14, 2016). doi:10.1117/1.JMI.3.1.011011
History: Received July 15, 2015; Accepted February 16, 2016
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Abstract.  Medical images and videos are now increasingly part of modern telecommunication applications, including telemedicinal applications, favored by advancements in video compression and communication technologies. Medical video quality evaluation is essential for modern applications since compression and transmission processes often compromise the video quality. Several state-of-the-art video quality metrics used for quality evaluation assess the perceptual quality of the video. For a medical video, assessing quality in terms of “diagnostic” value rather than “perceptual” quality is more important. We present a diagnostic-quality–oriented video quality metric for quality evaluation of cardiac ultrasound videos. Cardiac ultrasound videos are characterized by rapid repetitive cardiac motions and distinct structural information characteristics that are explored by the proposed metric. Cardiac ultrasound video quality index, the proposed metric, is a full reference metric and uses the motion and edge information of the cardiac ultrasound video to evaluate the video quality. The metric was evaluated for its performance in approximating the quality of cardiac ultrasound videos by testing its correlation with the subjective scores of medical experts. The results of our tests showed that the metric has high correlation with medical expert opinions and in several cases outperforms the state-of-the-art video quality metrics considered in our tests.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Manzoor Razaak and Maria G. Martini
"CUQI: cardiac ultrasound video quality index", J. Med. Imag. 3(1), 011011 (Mar 14, 2016). ; http://dx.doi.org/10.1117/1.JMI.3.1.011011


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