Enhancement via Fusion of Mammographic Features

Koren, Iztok; Laine, Andrew F.; Taylor, Fred

Image enhancement in mammography is typically concerned with either general visibility of all features or conspicuity of a specific sign of malignancy. We describe a synthesis of the two approaches through fusion of locally enhanced microcalcifications, circumscribed masses, and stellate lesions. Both local processing and image fusion are performed within a single wavelet transform framework which contributes to the computational efficiency of the method. The algorithm not only allows for efficient combination of specific features of importance, but also provides a flexible framework for incorporation of distinct enhancement methods and their independent optimization.


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Academic Units
Biomedical Engineering
Published Here
August 17, 2010


1998 International Conference on Image Processing : proceedings : ICIP 98 : October 4-7, 1998, Chicago, Illinois, USA, vol. 1 (Los Alamitos, Calif.: IEEE Computer Society, 1998), pp. 722-726.