Spatial second-derivative image processing: an application to optical mammography to enhance the detection of breast tumors

Vivian E. Pera; Erica L. Heffer; Horst Siebold; Oliver Schütz; Sylvia Heywang-Köbrunner; Linda Götz; Anke Heinig; Sergio Fantini

doi:10.1117/1.1578496

1 July 2003 Spatial second-derivative image processing: an application to optical mammography to enhance the detection of breast tumors

Vivian E. Pera, Erica L. Heffer, Horst Siebold, Oliver Schütz, Sylvia Heywang-Köbrunner, Linda Götz, Anke Heinig, Sergio Fantini

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Journal of Biomedical Optics, Vol. 8, Issue 3, (July 2003). https://doi.org/10.1117/1.1578496

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.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Vivian E. Pera, Erica L. Heffer, Horst Siebold, Oliver Schütz, Sylvia Heywang-Köbrunner, Linda Götz, Anke Heinig, and Sergio Fantini "Spatial second-derivative image processing: an application to optical mammography to enhance the detection of breast tumors," Journal of Biomedical Optics 8(3), (1 July 2003). https://doi.org/10.1117/1.1578496

Published: 1 July 2003

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