The Standard Attenuation Rate for Quantitative Mammography

  • Christopher E Tromans
  • Sir Michael Brady
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6136)

Abstract

We introduce the Standard Attenuation Rate (SAR), a quantitative, and normalised measure of radiodensity per unit distance traversed by the primary beam incident on each pixel of an x-ray mammogram is presented. We sketch an algorithm to compute the SAR. The calculation utilises a physics model of image formation, including consideration of photon production in the x-ray tube, photon detection within the image receptor, and photon scattering occurring within the tissues of the breast. Using the model, the difference in the flux incident upon, and exiting from, the breast is quantified relative to a reference material. Experimental validation of the SAR representation is presented, based on a tissue equivalent phantom designed and manufactured specifically for the purpose. The observed performance across the clinical range of acquisition parameters is very promising, supporting the suitability of this approach to form the basis of a next generation of diagnostic techniques based on quantitative tissue measurement.

Keywords

Quantitative mammography measuring radiodensity acquisition physics modelling scatter removal 

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References

  1. 1.
    Highnam, R., Brady, M.: Mammographic image analysis. Kluwer Academic, Dordrecht (1999)MATHGoogle Scholar
  2. 2.
    Highnam, R., et al.: A representation for mammographic image processing. Med. Image Anal. 1, 1–18 (1996)CrossRefGoogle Scholar
  3. 3.
    Pawluczyk, O., et al.: A volumetric method for estimation of breast density on digitized screen-film mammograms. Med. Phys. 30, 352–364 (2003)CrossRefGoogle Scholar
  4. 4.
    Diffey, J., et al.: A New Step-Wedge for the Volumetric Measurement of Mammographic Density. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds.) IWDM 2006. LNCS, vol. 4046, pp. 1–9. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  5. 5.
    Shepherd, J.A., et al.: Novel use of single X-ray absorptiometry for measuring breast density. Technol. Cancer Res. Treat 4, 173–182 (2005)Google Scholar
  6. 6.
    Kaufhold, J., et al.: A calibration approach to glandular tissue composition estimation in digital mammography. Med. Phys. 29, 1867–1880 (2002)CrossRefGoogle Scholar
  7. 7.
    Hammerstein, G.R., et al.: Absorbed radiation dose in mammography. Radiology 130, 485–491 (1979)Google Scholar
  8. 8.
    Yaffe, M.J., et al.: The myth of the 50-50 breast. Med. Phys. 36, 5437–5443 (2009)CrossRefGoogle Scholar
  9. 9.
    Tromans, C., Brady, M.: An Alternative Approach to Measuring Volumetric Mammographic Breast Density. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds.) IWDM 2006. LNCS, vol. 4046, pp. 26–33. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  10. 10.
    Alowami, S., et al.: Mammographic density is related to stroma and stromal proteoglycan expression. Breast Cancer Res. 5, R129-35 (2003)Google Scholar
  11. 11.
    Cranley, K., et al.: Catalogue of diagnostic X-ray spectra and other data. Institute of Physical Sciences in Medicine, York (1997)Google Scholar
  12. 12.
    Williams, M.B., et al.: Analysis of the detective quantum efficiency of a developmental detector for digital mammography. Med. Phys. 26, 2273–2285 (1999)CrossRefGoogle Scholar
  13. 13.
    Tromans, C., Brady, M.: Investigating the Replacement of the Physical Anti-Scatter Grid with Digital Image Processing. In: Proceedings of 10th International Workshop on Digital Mammography (IWDM), Girona, Spain (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

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

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