Radiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Slone, R. M.
Right arrow Articles by Hendrickson, D. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Slone, R. M.
Right arrow Articles by Hendrickson, D. D.
(Radiology. 2000;215:543-553.)
© RSNA, 2000

Computer Applications

Assessment of Visually Lossless Irreversible Image Compression: Comparison of Three Methods by Using an Image-Comparison Workstation1

Richard M. Slone, MD, David H. Foos, MS, Bruce R. Whiting, PhD, Edward Muka, MSE, David A. Rubin, MD, Thomas K. Pilgram, PhD, Kevin S. Kohm, MSEE, Susan S. Young, MS, Paul Ho, MD and Dan D. Hendrickson, MS

1 From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, Barnes-Jewish Hospital, Box 8131, 510 S Kingshighway Blvd, St Louis, MO 63110. From the 1998 RSNA scientific assembly. Received December 30, 1998; revision requested February 23, 1999; revision received July 16; accepted August 18. Address correspondence to R.M.S. (e-mail: sloner@mir.wustl.edu).

PURPOSE: To determine the degree of irreversible image compression detectable in conservative viewing conditions.

MATERIALS AND METHODS: An image-comparison workstation, which alternately displayed two registered and magnified versions of an image, was used to study observer detection of image degradation introduced by irreversible compression. Five observers evaluated 20 16-bit posteroanterior digital chest radiographs compressed with Joint Photographic Experts Group (JPEG) or wavelet-based trellis-coded quantization (WTCQ) algorithms at compression ratios of 8:1–128:1 and x2 magnification by using (a) traditional two-alternative forced choice; (b) original-revealed two-alternative forced choice, in which the noncompressed image is identified to the observer; and (c) a resolution-metric method of matching test images to degraded reference images.

RESULTS: The visually lossless threshold was between 8:1 and 16:1 for four observers. JPEG compression resulted in performance as good as that with WTCQ compression at these ratios. The original-revealed forced-choice method was faster and as sensitive as the two-alternative forced-choice method. The resolution-metric results were robust and provided information on performance above visually lossless levels.

CONCLUSION: The image-comparison workstation is a versatile tool for comparative assessment of image quality. At x2 magnification, images compressed with either JPEG or WTCQ algorithms were indistinguishable from unaltered original images for most observers at compression ratios between 8:1 and 16:1, indicating that 10:1 compression is acceptable for primary image interpretation.

Index terms: Computers, diagnostic aid • Data compression • Images, artifact, **.93, **.992 • Images, display, **.1215, **.992 • Images, processing, **.992 • Picture archiving and communication system (PACS)




This article has been cited by other articles:


Home page
 J. Am. Med. Inform. Assoc.Home page
C. Lopez, M. Lejeune, P. Escriva, R. Bosch, M. T. Salvado, L. E. Pons, J. Baucells, X. Cugat, T. Alvaro, and J. Jaen
Effects of Image Compression on Automatic Count of Immunohistochemically Stained Nuclei in Digital Images
J. Am. Med. Inform. Assoc., November 1, 2008; 15(6): 794 - 798.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Roentgenol.Home page
K. J. Kim, B. Kim, K. H. Lee, T. J. Kim, R. Mantiuk, H.-S. Kang, and Y. H. Kim
Regional Difference in Compression Artifacts in Low-Dose Chest CT Images: Effects of Mathematical and Perceptual Factors
Am. J. Roentgenol., August 1, 2008; 191(2): W30 - W37.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Roentgenol.Home page
V. Bajpai, K. H. Lee, B. Kim, K. J. Kim, T. J. Kim, Y. H. Kim, and H. S. Kang
Differences in Compression Artifacts on Thin- and Thick-Section Lung CT Images
Am. J. Roentgenol., August 1, 2008; 191(2): W38 - W43.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Roentgenol.Home page
B. Kim, K. H. Lee, K. J. Kim, R. Mantiuk, H.-r. Kim, and Y. H. Kim
Artifacts in Slab Average-Intensity-Projection Images Reformatted from JPEG 2000 Compressed Thin-Section Abdominal CT Data Sets
Am. J. Roentgenol., June 1, 2008; 190(6): W342 - W350.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Roentgenol.Home page
B. Kim, K. H. Lee, K. J. Kim, R. Mantiuk, S. Hahn, T. J. Kim, and Y. H. Kim
Prediction of Perceptible Artifacts in JPEG 2000 Compressed Chest CT Images Using Mathematical and Perceptual Quality Metrics
Am. J. Roentgenol., February 1, 2008; 190(2): 328 - 334.
[Abstract] [Full Text] [PDF]

Home page
 RadiologyHome page
H. Ringl, R. E. Schernthaner, C. Kulinna-Cosentini, M. Weber, C. Schaefer-Prokop, C. J. Herold, and W. Schima
Lossy Three-dimensional JPEG2000 Compression of Abdominal CT Images: Assessment of the Visually Lossless Threshold and Effect of Compression Ratio on Image Quality
Radiology, November 1, 2007; 245(2): 467 - 474.
[Abstract] [Full Text] [PDF]

Home page
 RadiologyHome page
A. Fidler, B. Likar, and H. Rupert Ringl
What Is Wrong with Compression Ratio in Lossy Image Compression?
Radiology, October 1, 2007; 245(1): 299 - 300.
[Full Text] [PDF]

Home page
 Am. J. Roentgenol.Home page
H. S. Woo, K. J. Kim, T. J. Kim, S. Hahn, B. Kim, Y. H. Kim, and K. H. Lee
JPEG 2000 Compression of Abdominal CT: Difference in Tolerance Between Thin- and Thick-Section Images
Am. J. Roentgenol., September 1, 2007; 189(3): 535 - 541.
[Abstract] [Full Text] [PDF]

Home page
 RadiologyHome page
H. Ringl, R. E. Schernthaner, A. A. Bankier, M. Weber, M. Prokop, C. J. Herold, and C. Schaefer-Prokop
JPEG2000 Compression of Thin-Section CT Images of the Lung: Effect of Compression Ratio on Image Quality
Radiology, September 1, 2006; 240(3): 869 - 877.
[Abstract] [Full Text] [PDF]

Home page
 Dentomaxillofac RadiolHome page
A Gegler, C. Mahl, and V Fontanella
Reproducibility of and file format effect on digital subtraction radiography of simulated external root resorptions
Dentomaxillofac. Radiol., January 1, 2006; 35(1): 10 - 13.
[Abstract] [Full Text] [PDF]

Home page
 RadiologyHome page
J. P. Ko, J. Chang, E. Bomsztyk, J. S. Babb, D. P. Naidich, and H. Rusinek
Effect of CT Image Compression on Computer-assisted Lung Nodule Volume Measurement
Radiology, October 1, 2005; 237(1): 83 - 88.
[Abstract] [Full Text] [PDF]

Home page
 RadiologyHome page
J. P. Ko, H. Rusinek, D. P. Naidich, G. McGuinness, A. N. Rubinowitz, B. S. Leitman, and J. M. Martino
Wavelet Compression of Low-Dose Chest CT Data: Effect on Lung Nodule Detection
Radiology, July 1, 2003; 228(1): 70 - 75.
[Abstract] [Full Text] [PDF]

Home page
 RadiologyHome page
M. E. Zalis, P. F. Hahn, R. S. Arellano, G. S. Gazelle, and P. R. Mueller
CT Colonography with Teleradiology: Effect of Lossy Wavelet Compression on Polyp Detection—Initial Observations
Radiology, August 1, 2001; 220(2): 387 - 392.
[Abstract] [Full Text] [PDF]

Home page
 RadioGraphicsHome page
R. H. Wiggins III, H. C. Davidson, H. R. Harnsberger, J. R. Lauman, and P. A. Goede
Image File Formats: Past, Present, and Future
RadioGraphics, May 1, 2001; 21(3): 789 - 798.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
RADIOLOGY RADIOGRAPHICS RSNA JOURNALS ONLINE
Copyright © 2000 by the Radiological Society of North America.