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Proceedings Paper

Steerable dyadic wavelet transform and interval wavelets for enhancement of digital mammography
Author(s): Andrew F. Laine; Iztok Koren; Wuhai Yang; Fred J. Taylor
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Paper Abstract

This paper describes two approaches for accomplishing interactive feature analysis by overcomplete multiresolution representations. We show quantitatively that transform coefficients, modified by an adaptive non-linear operator, can make more obvious unseen or barely seen features of mammography without requiring additional radiation. Our results are compared with traditional image enhancement techniques by measuring the local contrast of known mammographic features. We design a filter bank representing a steerable dyadic wavelet transform that can be used for multiresolution analysis along arbitrary orientations. Digital mammograms are enhanced by orientation analysis performed by a steerable dyadic wavelet transform. Arbitrary regions of interest (ROI) are enhanced by Deslauriers-Dubuc interpolation representations on an interval. We demonstrate that our methods can provide radiologists with an interactive capability to support localized processing of selected (suspicion) areas (lesions). Features extracted from multiscale representations can provide an adaptive mechanism for accomplishing local contrast enhancement. By improving the visualization of breast pathology can improve changes of early detection while requiring less time to evaluate mammograms for most patients.

Paper Details

Date Published: 6 April 1995
PDF: 14 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205437
Show Author Affiliations
Andrew F. Laine, Univ. of Florida (United States)
Iztok Koren, Univ. of Florida (United States)
Wuhai Yang, Univ. of Florida (United States)
Fred J. Taylor, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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