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Proceedings Paper

Digital Mammography: Development Of A Computer-Aided System For Detection Of Microcalcifications
Author(s): Heang-Ping Chan; Kunio Doi; Carl J. Vyborny; Charles E. Metz; Heber MacMahon; Peter M. Jokich; Simranjit Galhotra
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Paper Abstract

One of the potential advantages of digital radiography is that it allows computerized methods to be applied in the analysis of image abnormalities. In this study, automated detection of microcalcifications in digital mammograms was investigated. We employed a spatial filtering technique to suppress the structured background in a mammogram while enhancing the microcalcifications. Signal-extraction techniques based on the physical characteristics of microcalcifications were then used to isolate clustered microcalcifications from the remaining noise background. To obtain test mammograms with known signal locations for evaluation of the detection accuracy of the computer method, we employed Monte Carlo techniques to generate simulated microcalcification clusters which were then superimposed on normal mammograms. The results indicate that the computer method can achieve a true-positive cluster detection rate of approximately 85% at a false-positive detection rate of one cluster per image for microcalcifications of average subtlety. Detection accuracy is expected to increase if the parameters of the image-processing and signal-extraction techniques are optimized further.

Paper Details

Date Published: 1 January 1987
PDF: 4 pages
Proc. SPIE 0767, Medical Imaging, (1 January 1987); doi: 10.1117/12.967020
Show Author Affiliations
Heang-Ping Chan, The University of Chicago (United States)
Kunio Doi, The University of Chicago (United States)
Carl J. Vyborny, The University of Chicago (United States)
Charles E. Metz, The University of Chicago (United States)
Heber MacMahon, The University of Chicago (United States)
Peter M. Jokich, The University of Chicago (United States)
Simranjit Galhotra, The University of Chicago (United States)


Published in SPIE Proceedings Vol. 0767:
Medical Imaging
Samuel J. Dwyer; Roger H. Schneider, Editor(s)

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