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Journal of Biomedical Optics

Spatial second-derivative image processing: an application to optical mammography to enhance the detection of breast tumors
Author(s): Vivian E. Pera; Erica L. Heffer; Horst Siebold; Oliver Schütz; Sylvia Heywang-Köbrunner; Linda Götz; Anke Heinig; Sergio Fantini
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Paper Abstract

We present an image-processing method that enhances the detection of regions of higher absorbance in optical mammograms. At the heart of this method lies a second-derivative operator that is commonly employed in edge-detection algorithms. The resulting images possess a high contrast, an automatic display scale, and a greater sensitivity to smaller departures from the local background absorbance. Moreover, the images are free of artifacts near the breast edge. This second-derivative method enhances the display of structural information in optical mammograms and may be used to robustly select areas of interest to be further analyzed spectrally to determine the oxygenation level of breast lesions.

Paper Details

Date Published: 1 July 2003
PDF: 8 pages
J. Biomed. Opt. 8(3) doi: 10.1117/1.1578496
Published in: Journal of Biomedical Optics Volume 8, Issue 3
Show Author Affiliations
Vivian E. Pera, Massachusetts Institute of Technology (United States)
Erica L. Heffer, Tufts Univ. (United States)
Horst Siebold, Siemens AG (Germany)
Oliver Schütz, Siemens AG (Germany)
Sylvia Heywang-Köbrunner, Martin-Luther-Univ./Halle-Wittenberg (Germany)
Linda Götz, Martin-Luther-Univ./Halle-Wittenberg (Germany)
Anke Heinig, Martin-Luther-Univ. Halle-Wittenberg (Germany)
Sergio Fantini, Tufts Univ. (United States)

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