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)


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.


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.


  1. 1.
    Tabár, L.: Diagnosis and In-Depth Differential Diagnosis of Breast Diseases. In: Breast Imaging and Interventional Procedures, ESDIR, Turku, Finland (1996)Google Scholar
  2. 2.
    Horváth, G., Valyon, J., Strausz, G., Pataki, B., Sragner, L., Lasztovicza, L., Székely, N.: Intelligent Advisory System for Screening Mammography. In: Proc. of the IMTC 2004 - Instrumentation and Measurement Technology Conference, Como, Italy (2004)Google Scholar
  3. 3.
    Székely, N., Tóth, N., Pataki, B.: A Hybrid System for Detecting Masses in Mammographic Images. In: Proc. of the IMTC 2004 - Instrumentation and Measurement Technology Conference, Como, Italy (2004)Google Scholar
  4. 4.
    Yu, S., Guan, L.: A CAD System for the Automatic Detection of Clustered Microcalcifications in Digitized Mammogram Films. IEEE Trans. on Medical Imaging 19(2) (February 2000)Google Scholar
  5. 5.
    Verma, B., Zakos, J.: A Computer-Aided Diagnosis System for Digital Mammograms Based on Fuzzy-Neural Feature Extraction Techniques. IEEE Trans. on Information Technology in Biomedicine 5(1), 46–54 (2001)CrossRefGoogle Scholar
  6. 6.
    Ferrari, R.J., Rangayyan, R.M., Desautels, J.E.L., Borges, R.A., Frre, A.F.: Automatic Identification of the Pectoral Muscle in Mammograms. IEEE Trans. on Image Processing 23(2), 232–245 (2004)Google Scholar
  7. 7.
    Wei-Ying, M., Manjunath, B.S.: EdgeFlow: A Technique for Boundary Detection and Image Segmentation. IEEE Trans. on Image Processing 9(8), 1375–1388 (2000)zbMATHCrossRefGoogle Scholar
  8. 8.
    Yam, M., Brady, M., Highnam, R., Behrenbruch, C., English, R., Kita, Y.: Three-Dimensional Reconstruction of Microcalcification Clusters from Two Mammographic Views. IEEE Trans. on Image Processing 20(6) (June 2001)Google Scholar
  9. 9.
    Heath, M., Bowyer, K., Kopans, D., Moore, R., Chang, K., Munishkumaran, S., Kegelmeyer, P.: Current Status of the Digital Database for Screening Mammography. In: Karssemeier, N., Thijssen, M., Hendriks, J., van Erning, L. (eds.) Proc. of the 4th International Workshop on Digital Mammography, Nijmegen, The Netherlands, pp. 457–460. Kluwer Acamdemic, Dordrecht (1998)Google Scholar
  10. 10.
    Pitas, I.: Digital Image Processing and Algorithms and Applications. John Wiley & Sons, New York (2000)Google Scholar
  11. 11.
    Gustafson, D.E., Kessel, W.C.: Fuzzy Clustering with a Fuzzy Covariance Matrix. In: Proc. IEEE-CDC, vol. 2, pp. 761–766 (1979)Google Scholar
  12. 12.
    Duda, R.O., Hart, P.E.: Pattern Classification and Scene Analysis. John Wiley & Sons, Chichester (1973)zbMATHGoogle Scholar

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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