Paper
1 April 1994 Design of a receiver operating characteristic (ROC) study of 10:1 lossy image compression
Cary A. Collins, David Lane, Mark S. Frank M.D., Michael E. Hardy, David R. Haynor, Donald V. Smith M.D., James E.S. Parker, Gregory N. Bender M.D., Yongmin Kim
Author Affiliations +
Abstract
The digital archiving system at Madigan Army Medical Center (MAMC) uses a 10:1 lossy data compression algorithm for most forms of computed radiography. A systematic study on the potential effect of lossy image compression on patient care has been initiated with a series of studies focused on specific diagnostic tasks. The studies are based upon the receiver operating characteristic (ROC) method of analysis for diagnostic systems. The null hypothesis is that observer performance with approximately 10:1 compressed and decompressed images is not different from using original, uncompressed images for detecting subtle pathologic findings seen on computed radiographs of bone, chest, or abdomen, when viewed on a high-resolution monitor. Our design involves collecting cases from eight pathologic categories. Truth is determined by committee using confirmatory studies performed during routine clinical practice whenever possible. Software has been developed to aid in case collection and to allow reading of the cases for the study using stand-alone Siemens Litebox workstations. Data analysis uses two methods, ROC analysis and free-response ROC (FROC) methods. This study will be one of the largest ROC/FROC studies of its kind and could benefit clinical radiology practice using PACS technology. The study design and results from a pilot FROC study are presented.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cary A. Collins, David Lane, Mark S. Frank M.D., Michael E. Hardy, David R. Haynor, Donald V. Smith M.D., James E.S. Parker, Gregory N. Bender M.D., and Yongmin Kim "Design of a receiver operating characteristic (ROC) study of 10:1 lossy image compression", Proc. SPIE 2166, Medical Imaging 1994: Image Perception, (1 April 1994); https://doi.org/10.1117/12.171736
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Cited by 6 scholarly publications.
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KEYWORDS
Image compression

Pathology

Diagnostics

Digital imaging

Image quality

Bone

Receivers

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