14 March 2016 CUQI: cardiac ultrasound video quality index
Manzoor Razaak, Maria G. Martini
Author Affiliations +
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.
© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Manzoor Razaak and Maria G. Martini "CUQI: cardiac ultrasound video quality index," Journal of Medical Imaging 3(1), 011011 (14 March 2016). https://doi.org/10.1117/1.JMI.3.1.011011
Published: 14 March 2016
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Video

Video compression

Echocardiography

Motion measurement

Video processing

Diagnostics

Image quality

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