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Proceedings Paper

Effect of data compression on diagnostic accuracy in digital hand and chest radiography
Author(s): James W. Sayre; Denise R. Aberle; Maria Ines Boechat; Theodore R. Hall; H. K. Huang; Bruce Kuo Ting Ho; Payam Kashfian; Guita Rahbar
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Paper Abstract

Image compression is essential to handle a large volume of digital images including CT, MR, CR, and digitized films in a digital radiology operation. The full-frame bit allocation using the cosine transform technique developed during the last few years has been proven to be an excellent irreversible image compression method. This paper describes the effect of using the hardware compression module on diagnostic accuracy in hand radiographs with subperiosteal resorption and chest radiographs with interstitial disease. Receiver operating characteristic analysis using 71 hand radiographs and 52 chest radiographs with five observers each demonstrates that there is no statistical significant difference in diagnostic accuracy between the original films and the compressed images with a compression ratio as high as 20:1.

Paper Details

Date Published: 1 May 1992
PDF: 9 pages
Proc. SPIE 1653, Medical Imaging VI: Image Capture, Formatting, and Display, (1 May 1992); doi: 10.1117/12.59528
Show Author Affiliations
James W. Sayre, UCLA School of Medicine (United States)
Denise R. Aberle, UCLA School of Medicine (United States)
Maria Ines Boechat, UCLA School of Medicine (United States)
Theodore R. Hall, UCLA School of Medicine (United States)
H. K. Huang, UCLA School of Medicine (United States)
Bruce Kuo Ting Ho, UCLA School of Medicine (United States)
Payam Kashfian, UCLA School of Medicine (United States)
Guita Rahbar, UCLA School of Medicine (United States)


Published in SPIE Proceedings Vol. 1653:
Medical Imaging VI: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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