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Proceedings Paper

Wavelet methods for combining CAD with enhancement of mammograms
Author(s): Robin N. Strickland; Hee Il Hahn; Laurent J. Baig
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Paper Abstract

Computer-aided diagnosis techniques have been proposed as second opinion providers in digital mammography. This paper considers a new method of presenting CAD output to the radiologist. Instead of superimposing detected pixels or arrows on the mammogram, we adaptively enhance the most suspicious regions according to the weight indicated by the test statistic at the detector output. In so doing, CAD false positives promise to be less obtrusive to the viewer, and lesions missed by CAD (false negatives) may still be detected by the radiologist. In our method the entire mammogram is enhanced to some (spatially varying) degree. Enhancement is realized by applying nonlinear operators to wavelet coefficients computed at multiple scales. We combine this technique with the results of our previous wavelets-based CAD algorithm for detecting microcalcifications.

Paper Details

Date Published: 16 April 1996
PDF: 16 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237997
Show Author Affiliations
Robin N. Strickland, Univ. of Arizona (United States)
Hee Il Hahn, Univ. of Arizona (United States)
Laurent J. Baig, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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