Prediction of perceptible artifacts in JPEG 2000-compressed chest CT images using mathematical and perceptual quality metrics

AJR. American Journal of Roentgenology
Bohyoung KimYoung Hoon Kim

Abstract

The objective of our study was to determine whether peak signal-to-noise ratio (PSNR) and a perceptual quality metric (High-Dynamic Range Visual Difference Predictor [HDR-VDP]) can predict the presence of perceptible artifacts in Joint Photographic Experts Group (JPEG) 2000-compressed chest CT images. One hundred chest CT images were compressed to 5:1, 8:1, 10:1, and 15:1. Five radiologists determined if the original and compressed images were identical (negative response) or different (positive response). The correlation between the results for each metric and the number of readers with positive responses was evaluated using Spearman's rank correlation test. Using the pooled readers' responses as the reference standard, we performed receiver operating characteristic (ROC) analysis to determine the cutoff values balancing sensitivity and specificity and yielding 100% sensitivity in each metric. These cutoff values were then used to estimate the visually lossless thresholds for the compressions for the 100 original images, and the accuracy of the estimates of two metrics was compared (McNemar test). The correlation coefficients were -0.918 and 0.925 for PSNR and the HDR-VDP, respectively. The areas under the ROC curves for the t...Continue Reading

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Citations

Oct 16, 2012·Journal of Digital Imaging·Verislav T GeorgievLena I Costaridou
Jun 24, 2008·Telemedicine Journal and E-health : the Official Journal of the American Telemedicine Association·Kil Joong KimKyoung Ho Lee
Jul 24, 2008·AJR. American Journal of Roentgenology·Vasundhara BajpaiHeung Sik Kang
Jul 24, 2008·AJR. American Journal of Roentgenology·Kil Joong KimYoung Hoon Kim
Aug 14, 2009·Medical Physics·Kil Joong KimRafal Mantiuk
Sep 21, 2011·Medical Physics·Hyunna LeeKyoung Ho Lee
Mar 23, 2021·Annals of Nuclear Medicine·Kenta SakaguchiKazunari Ishii

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