Joint analysis of multiple mammographic views in CAD systems for breast cancer detection

Authors:
Márta Altrichter;Zoltán Ludányi;Gábor Horváth
Affiliations:
Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary;Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary;Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary
Venue:
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Year:
2005

Citing 3
Cited 1

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Abstract

In screening X-ray mammography two different views are captured and analysed of both breasts. In the four X-ray images some special signs are looked for. First the individual images are analysed independently, but good result can be achieved only if joint analysis of the images is also done. This paper proposes a simple procedure for the joint analysis of the breast's two views. The procedure is based upon the experiences of radiologists: masses and calcifications should emerge on both views, so if no matching is found, the given object is a false positive hit. First a reference system is evolved to find corresponding regions on the two images. Calcification clusters obtained in individual images are matched in “2.5 D” provided by the reference system. Masses detected in individual images are further examined with texture segmentation. The proposed approach can significantly reduce the number of false positive hits both in calcification and in mass detection.