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Published online before print July 25, 2006, 10.1148/radiol.2403050519
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(Radiology 2006;240:869-877.)
© RSNA, 2006


Thoracic Imaging

JPEG2000 Compression of Thin-Section CT Images of the Lung: Effect of Compression Ratio on Image Quality1

Helmut Ringl, MD, Ruediger E. Schernthaner, MD, Alexander A. Bankier, MD, Michael Weber, PhD, Mathias Prokop, MD, Christian J. Herold, MD and Cornelia Schaefer-Prokop, MD

1 From the Department of Radiology, University Hospital Vienna, AKH Wien, Währinger Gürtel 18-20, A-1090, Vienna, Austria (H.R., R.E.S., A.A.B., M.W., C.J.H., C.S.); and Department of Radiology, Utrecht Medical Center, Utrecht, the Netherlands (M.P.). Received March 29, 2005; revision requested May 25; revision received September 2; accepted September 12; final version accepted November 23. Address correspondence to H.R. (e-mail: helmut.ringl{at}meduniwien.ac.at).

Purpose: To assess retrospectively the effect of the Joint Photographic Experts Group 2000 (JPEG2000) compression ratio on the quality of thin-section computed tomographic (CT) images.

Materials and Methods: In this institutional review board–approved investigation (protocol 238/2004), thin-section CT images were subjected to irreversible JPEG2000 compression by using five compression ratios (3:1, 5:1, 7:1, 9:1, and 11:1). Three radiologists independently evaluated 60 thin-section CT images, of various diseases, that were obtained with single-detector (weighted dose index, 14.4 mGy) and multidetector (weighted dose index, 9.8 mGy) CT. Toggling between the original and compressed images, readers had to identify the original image by using a forced-choice two-alternative model and to subjectively rank the quality of what they believed to be the compressed image. To assess the reader's ability to distinguish the compressed from the original image, a binomial test was used. Bonferroni correction was applied for all multiple tests.

Results: Images compressed with a ratio of 3:1 were not distinguishable from original images (P > .2 for all readers). With use of the 5:1 ratio, minor differences in appearance between the compressed and original images were seen by one of the three readers. With use of higher compression ratios (≥7:1), all readers (P < .001) recognized the original image. The quality of more than 90% of the images compressed with a 7:1 or higher ratio was substantially degraded. Single-detector and multidetector CT results were not significantly different.

Conclusion: The highest ratio that yielded visually lossless compression of thin-section CT images was 3:1. With the 5:1 ratio, there was minor image quality loss, while use of higher compression ratios (≥7:1) caused substantial degradation of image quality and potential loss of diagnostic information.

© RSNA, 2006




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