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Wavelets for Contrast Enhancement of Digital Mammography

Andrew F. Laine; Jian Fan; Wuhai Yang

Title:
Wavelets for Contrast Enhancement of Digital Mammography
Author(s):
Laine, Andrew F.
Fan, Jian
Yang, Wuhai
Date:
Type:
Articles
Department:
Biomedical Engineering
Volume:
14
Permanent URL:
Book/Journal Title:
IEEE Engineering in Medicine and Biology Magazine
Abstract:
Multiresolution representations provided an adaptive mechanism for the local emphasis of features of importance to mammography. In general, improvements in image contrast for multiscale image processing algorithms were superior to those obtained using existing competitive algorithms. These initial results are encouraging and suggest that wavelet based image processing algorithms could play an important role in improving the imaging performance of digital mammography. In part 2, features blended into the mammograms were "idealized" representations of the types of objects that are of primary interest to mammographers. The resultant mammographic images were appropriate for the purpose of demonstrating improved image contrast made possible by wavelet based image processing algorithms. These images were also useful for comparing multiscale wavelet based algorithms with existing image processing algorithms. The test results obtained in this study, however, cannot be directly extrapolated to clinical mammography. In addition, it is also important to study possible image artifacts introduced by new wavelet filters, which may increase the false positive rate.
Subject(s):
Biomedical engineering
Publisher DOI:
10.1109/51.464770
Item views:
143
Metadata:
text | xml

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