NDLI: Objective and subjective evaluations of quality for speckle reduced echocardiography

Content Provider	IEEE Xplore Digital Library
Author	Finn, S. Jones, E. Glavin, M.
Copyright Year	2009
Description	Author affiliation: Bioelectronics Research Cluster, National Centre for Biomedical Engineering Science, National University of Ireland, Galway, Republic of Ireland (Finn, S.; Jones, E.; Glavin, M.)
Abstract	This paper presents the results of a study into the subjective effect of speckle reduction filtering in echocardiography, as assessed by clinical experts. Echocardiographic videos were filtered by a number of speckle reduction methods to produce a set of test videos with varying levels of speckle content. Six practicing cardiac technicians were asked to rate each video in three scoring categories, with the aim of quantifying their subjective evaluation of the diagnostic usefulness and the level of speckle in each video. The change in expert scores due to filtering is analyzed. Inter-expert difference in the evaluation is investigated, and intra-expert analysis of the association between each score category is also performed. In addition, a number of objective quality metrics are applied to the filtered videos, and the correlation between these metrics and the expert scores is determined. Results indicate that, while there are inter-expert differences, strong intra-expert relationships exist between the score categories. Furthermore each of the three subjective score categories is strongly associated with one of the objective quality metrics.
Starting Page	503
Ending Page	506
File Size	551159
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333572
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speckle Echocardiography Videos Ultrasonic imaging Filtering Filters Biomedical engineering Testing Anisotropic magnetoresistance Contacts
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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