Skip to main content
SpringerLink
Log in

Automatic Breast Orientation in Mediolateral Oblique View Mammograms

  • Conference paper
Digital Mammography

Abstract

An algorithm for determining the orientation of mediolateral oblique view mammograms is presented. First, the chest wall is found using the variation in thickness of the breast near its edge. The top of the image is then determined using the asymmetry of the breast around its vertical centroid. The algorithm has been tested on the entire MIAS database, with images successively rotated in 90-degree increments, and flipped horizontally and vertically. Correct orientation was determined for all images.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Karssemeijer, N.: Automated Classification of Parenchymal Patterns in Mammograms. Physics in Medicine and Biology 43 (1998) 365–378

    Article  PubMed  CAS  Google Scholar 

  2. Lou, S.L., Lin, H.D., Lin, K.P., Hoogstrate D.: Automatic breast region extraction from digital mammograms for PACS and telemammography applications. Computerised Medical Imaging and Graphics. 24 (2000) 205–220

    Article  CAS  Google Scholar 

  3. Suckling J., Parker, J., Dance, D.R., Astley, S., Hütt, I. et al.: The Mammographie Image Analysis Society Digital Mammogram Database. In: Gale, A.G., Astley, S.M., Dance, D.R., Cairns, A.Y. (eds.): Digital Mammography vol. 1069 of Excerpta Medica International Congress Series, ( Amsterdam, The Netherlands) Elsevier Science, (1994) 375–378.

    Google Scholar 

  4. Chandrasekhar, R., Attikiouzel, Y.: A Simple Method for Automatically Locating the Nipple on Mammograms. IEEE Transactions on Medical Imaging. 16-5 (1997) 483–494

    Article  PubMed  CAS  Google Scholar 

  5. Highnam, R.P., Brady, J.M., Shepstone, B.J.: Estimation of compressed breast thickness during mammography. The British Journal of Radiology, 71 (1998) 646–653

    PubMed  CAS  Google Scholar 

  6. Masek, M, Attikiouzel, Y., deSilva, C.J.S.: Automatic Removal of High Intensity Labels and Noise from Mammograms. In: Martin J. Yaffe (ed.): Digital Mammography, IWDM 2000, Proc. 5th Int. Workshop on Digital Mammography, Toronto, Canada, June 2000. Madison, WI: Medical Physics Publishing (2001) 576–581

    Google Scholar 

  7. Brink, A.D, Pendock, N.E.: Minimum Cross-Entropy Threshold Selection. Pattern Recognition. 29-1 (1996) 179–188

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre for Intelligent Information Processing Systems, Department of Electrical and Electronic Engineering, The University of Western Australia, Australia

    Martin Masek, Christopher J. S. deSilva & Yianni Attikiouzel

  2. Australian Research Centre for Medical Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, Perth 6009, Western Australia, Australia

    Christopher J. S. deSilva & Yianni Attikiouzel

Authors
  1. Martin Masek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Christopher J. S. deSilva
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yianni Attikiouzel
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Me Vis — Center for Medical Diagnostic Systems and Visualization at the University of Bremen, Universitätsallee 29, 28359, Bremen, Germany

    Heinz-Otto Peitgen Ph.D. (Professor of Mathematics and Biomedical Sciences) (Professor of Mathematics and Biomedical Sciences)

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Masek, M., deSilva, C.J.S., Attikiouzel, Y. (2003). Automatic Breast Orientation in Mediolateral Oblique View Mammograms. In: Peitgen, HO. (eds) Digital Mammography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59327-7_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-59327-7_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63936-4

  • Online ISBN: 978-3-642-59327-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation