Paper
1 May 1991 Digital replication of chest radiographs without altering diagnostic observer performance
Michael J. Flynn, Eric Davies, David Spizarny, Gordon H. Beute, Edward Peterson, William R. Eyler, Barry Gross, Ji Chen
Author Affiliations +
Abstract
A study to test the ability of a high-fidelity system to digitize chest radiographs, store the data in a computer, and reprint the film without altering diagnostic observer performance is reported. Two hundred and fifty-two (252) chest films with subtle image features indicative of interstitial disease, pulmonary nodule, or pneumothorax, along with 36 normal chest films were used in the study. Films were selected from a key word search on a computerized report archive and were graded by two experienced radiologists. Each film was digitized with 86 micron pixels and stored in 4000 X 5000 arrays using a research instrument. Replicates were printed using a commercial laser film printer (Eastman Kodak Company) having 80 micron pixels. Originals and replicates were observed separately by two different experienced radiologists. Each indicated a graded response for the three possible pathologies. The agreement of observers between responses for replicates and originals was described by the kappa statistic and compared to the agreement when rereading the original film. The final result of this study supports a hypothesis that the replicate is indistinguishable from the original.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael J. Flynn, Eric Davies, David Spizarny, Gordon H. Beute, Edward Peterson, William R. Eyler, Barry Gross, and Ji Chen "Digital replication of chest radiographs without altering diagnostic observer performance", Proc. SPIE 1444, Medical Imaging V: Image Capture, Formatting, and Display, (1 May 1991); https://doi.org/10.1117/12.45168
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Diagnostics

Chest imaging

Matrices

Radiology

Chest

Computing systems

Image processing

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