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Proceedings Paper

The quest for 'diagnostically lossless' medical image compression: a comparative study of objective quality metrics for compressed medical images
Author(s): Ilona Kowalik-Urbaniak; Dominique Brunet; Jiheng Wang; David Koff; Nadine Smolarski-Koff; Edward R. Vrscay; Bill Wallace; Zhou Wang
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Paper Abstract

Our study, involving a collaboration with radiologists (DK,NSK) as well as a leading international developer of medical imaging software (AGFA), is primarily concerned with improved methods of assessing the diagnostic quality of compressed medical images and the investigation of compression artifacts resulting from JPEG and JPEG2000. In this work, we compare the performances of the Structural Similarity quality measure (SSIM), MSE/PSNR, compression ratio CR and JPEG quality factor Q, based on experimental data collected in two experiments involving radiologists. An ROC and Kolmogorov-Smirnov analysis indicates that compression ratio is not always a good indicator of visual quality. Moreover, SSIM demonstrates the best performance, i.e., it provides the closest match to the radiologists' assessments. We also show that a weighted Youden index1 and curve tting method can provide SSIM and MSE thresholds for acceptable compression ratios.

Paper Details

Date Published: 11 March 2014
PDF: 16 pages
Proc. SPIE 9037, Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, 903717 (11 March 2014); doi: 10.1117/12.2043196
Show Author Affiliations
Ilona Kowalik-Urbaniak, Univ. of Waterloo (Canada)
Dominique Brunet, Univ. of Waterloo (Canada)
Jiheng Wang, Univ. of Waterloo (Canada)
David Koff, McMaster Univ. (Canada)
Nadine Smolarski-Koff, McMaster Univ. (Canada)
Edward R. Vrscay, Univ. of Waterloo (Canada)
Bill Wallace, Agfa HealthCare (Canada)
Zhou Wang, Univ. of Waterloo (Canada)


Published in SPIE Proceedings Vol. 9037:
Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment
Claudia R. Mello-Thoms; Matthew A. Kupinski, Editor(s)

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