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Proceedings Paper

Image structure and perceptual errors in mammogram reading: a pilot study
Author(s): Claudia Mello-Thoms; Stanley M. Dunn; Calvin F. Nodine; Harold L. Kundel
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Paper Abstract

Early detection of breast cancer is very desirable, considering that it can significantly change the prognosis for a woman diagnosed with this disease. Nonetheless 10 - 30% of all breast cancers are missed by the radiologist, albeit they are visible in the mammogram. In this work we have studied the underlying structure of the image in the location of the lesions that were missed and the ones that were found, as well as in the locations of the lesions that did not exist but were reported by the radiologist. We have shown that there is a statistically significant difference in the information content of different frequency bands that results in various decision types. We have also shown that it is possible to use a pattern classifier, based upon the information contents of the spectral decomposition of a local image region, to predict the most likely decision outcome.

Paper Details

Date Published: 14 April 2000
PDF: 4 pages
Proc. SPIE 3981, Medical Imaging 2000: Image Perception and Performance, (14 April 2000); doi: 10.1117/12.383104
Show Author Affiliations
Claudia Mello-Thoms, Univ. of Pennsylvania School of Medicine and Rutgers Univ. (United States)
Stanley M. Dunn, Rutgers Univ. (United States)
Calvin F. Nodine, Univ. of Pennsylvania School of Medicine (United States)
Harold L. Kundel, Univ. of Pennsylvania School of Medicine (United States)

Published in SPIE Proceedings Vol. 3981:
Medical Imaging 2000: Image Perception and Performance
Elizabeth A. Krupinski, Editor(s)

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