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Joint Analysis of Multiple Mammographic Views in CAD Systems for Breast Cancer Detection

  • Márta Altrichter
  • Zoltán Ludányi
  • Gábor Horváth
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

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.

Keywords

Reference System Joint Analysis Digital Mammography Pectoral Muscle Boundary Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Márta Altrichter
    • 1
  • Zoltán Ludányi
    • 1
  • Gábor Horváth
    • 1
  1. 1.Department of Measurement and Information SystemsBudapest University of Technology and EconomicsBudapestHungary

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