Academic Commons

Articles

Visualization of mammograms via fusion of enhanced features

Koren, Iztok; Laine, Andrew F.; Smith, Suzanne; Nickoloff, Edward Lee; 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.

Files

More Information

Academic Units
Biomedical Engineering

Notes

Computer-aided diagnosis in medical imaging : proceedings of the First International Workshop on Computer-Aided Diagnosis, Chicago, U.S.A., 20-23 September 1998 (Amsterdam ; New York : Elsevier, 1999), pp. 287-303.

Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.