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A Scatter Model for Use in Measuring Volumetric Mammographic Breast Density

  • Christopher Tromans
  • Michael Brady
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4046)

Abstract

In order that accurate measurements of volumetric breast density may be made, a model of the scattered radiation present within an image is required: such a model is presented here. The model has the advantageous property of utilising a model of photon scattering, allowing cross sections to be calculated, and thus allowing scatter to be modelled for any object. An analysis is presented which uses the model to quantify the effect of varying small angle scattering properties of breast tissues; and the effect of the height within the breast at which tissues are present. Since the details of the anatomical structure of the breast under measurement are unknown, their precise effect on scatter cannot be calculated, but this model is used here to establish error bounds on the scatter estimate, which is a significant contribution to the error in breast density measurement.

Keywords

Form Factor Breast Density Scattered Radiation Scatter Model Image Receptor 
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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References

  1. 1.
    Highnam, R., Brady, M.: Mammographic image analysis. Kluwer Academic, Dordrecht; London (1999)MATHGoogle Scholar
  2. 2.
    Kidane, G., Speller, R.D., Royle, G.J., Hanby, A.M.: X-ray scatter signatures for normal and neoplastic breast tissues. Phys. Med. Biol. 44, 1791–1802 (1999)CrossRefGoogle Scholar
  3. 3.
    Poletti, M.E., Goncalves, D., Mazzaro, I.: X-ray scattering from human breast tissues and breast-equivalent materials. Phys. Med. Biol. 47, 47–63 (2002)CrossRefGoogle Scholar
  4. 4.
    Tromans, C.: DPhil Thesis: Measuring Breast Density from X-Ray Mammograms. Engineering Science, Oxford University, Oxford (to be submitted)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Christopher Tromans
    • 1
  • Michael Brady
    • 1
  1. 1.Wolfson Medical Vision Laboratory, Department of Engineering ScienceUniversity of OxfordOxfordUK

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