Advertisement

Computer Assisted Diagnosis of Microcalcifications in Mammograms: A Scale-Space Approach

  • Alberto Pastrana Palma
  • Juan Francisco Reyes Muñoz
  • Luis Rodrigo Valencia Pérez
  • Juan Manuel Peña Aguilar
  • Alberto Lamadrid Álvarez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7094)

Abstract

Computer Assisted Diagnosis (CAD) is rapidly reaching worldwide acceptance in different fields of medicine. Particularly, CAD has found one of its main applications in breast cancer diagnosis where the detection of microcalcifications in women breasts is typically associated with the presence of cancer. In this paper, a method for automatic breast contour detection is presented as a pre-processing step for microcalcification detection. Then, a combination of scale-space algorithms are used to locate candidate regions of microcalcifications and a significant percentage of false positives are finally discriminated via thresholding. Detected regions using this method have been found to describe 91.6% of microcalcifications from the MIAS database with an average specificity of 97.30%.

Keywords

mammography microcalcifications scale-space sieve 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bangham, J.A., Chardaire, P., Ling, P., Pye, C.J.: Multiscale nonlinear decomposition: the sieve decomposition theorem. IEEE Trans. Pattern Analysis and Machine Intelligence 18, 518–527 (1996)Google Scholar
  2. 2.
    Zwiggelaar, R., Taylor, C.J.: Abnormal Masses in Mammograms: Detection Using Scale-Orientation Signatures. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 570–577. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  3. 3.
    Calero Cuerda, F.: Factores de Riesgo en Cáncer de Mama. Journal de Progresos de Obstetricia y Ginecología 42(90), 9065–9088 (1999)Google Scholar
  4. 4.
    Oporto-Díaz, S., Hernández-Cisneros, R., Terashima-Marín, H.: Detection of Microcalcification Clusters in Mammograms Using a Difference of Optimized Gaussian Filters. In: Kamel, M., Campilho, A. (eds.) ICIAR 2005. LNCS, vol. 3656, pp. 998–1005. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  5. 5.
    Southam, P., Harvey, R.: Texture Granularities. In: Roli, F., Vitulano, S. (eds.) ICIAP 2005. LNCS, vol. 3617, pp. 304–311. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  6. 6.
    Karahaliou, A., Skiadopoulos, S., Boniatis, Sakellaropoulos, P., Likaki, E., Panayiotakis, G., Costaridou, L.: Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis. British Journal of Radiology 80, 648–656 (2007)CrossRefGoogle Scholar
  7. 7.
    Pastrana Palma, A., Bangham, J.A.: Correspondence Regions and Structured Images. In: Gelbukh, A., Kuri Morales, Á.F. (eds.) MICAI 2007. LNCS (LNAI), vol. 4827, pp. 580–589. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  8. 8.
    Leena, J.S., Govardhan, A., Baskaran, S.: Classification of Microcalcification in Mammograms using Nonsubsampled Contourlet Transform and Neural Network. European Journal of Scientific Research 46(4), 531–539 (2010)Google Scholar
  9. 9.
    Veni, S., Narayanankutty, K.A., Fayas, A.: Employing Hexagonal Wavelets for Detecting Microcalcification in Digital Mammography. ICGST-GVIP Journal 11(1) (2011)Google Scholar
  10. 10.
    American Cancer Society: Breast Cancer Screening & Treatment. Position Statement as of February 16 of 2011 (2011)Google Scholar
  11. 11.
    The Mammographic Image Analysis Society (2011), http://peipa.essex.ac.uk/info/mias.html (last visited on May 2011)

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alberto Pastrana Palma
    • 1
  • Juan Francisco Reyes Muñoz
    • 1
  • Luis Rodrigo Valencia Pérez
    • 1
  • Juan Manuel Peña Aguilar
    • 1
  • Alberto Lamadrid Álvarez
    • 1
  1. 1.Laboratorio de Gestión TecnológicaUniversidad Autónoma de QuerétaroQuerétaroMéxico

Personalised recommendations