Skip to main content

Volumetric Assessment of Breast Tissue Composition from FFDM Images

  • Conference paper
Book cover Digital Mammography (IWDM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5116))

Included in the following conference series:

Abstract

We present first results from a new automated algorithm for the volumetric measurement of the composition of breast tissue from digital mammograms. The new algorithm overcomes issues in previous implementations through better segmentation and use of additional information We measure the success of the new algorithm using an overall quality metric based upon the results from a large multi-site, multi-vendor, multi-detector set of digitally acquired mammograms.

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

Access this chapter

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Harvey, J.A., Bovbjerg, V.E.: Quantitative Assessment of Mammographic Breast Density: Relationship with Breast Cancer Risk. Radiology 230, 29–41 (2004)

    Article  Google Scholar 

  2. Boyd, N.F., Dite, G.S., Stone, J., Gunasekara, A., English, D.R., McCredie, M.R., Giles, G.G., Tritchler, D., Charell, A., Yaffe, M.J., Hopper, J.L.: Heritability of Mammographic Density, A Risk Factor For Breast Cancer. N. Engl. J. Med. 347, 886–894 (2002)

    Article  Google Scholar 

  3. American College of Radiology: Breast Imaging Reporting and Data System (BI-RADS), Reston, Va (1998)

    Google Scholar 

  4. Wolfe, J.N.: Breast Patterns as an Index of Risk for Developing Breast Cancer. AJR 126, 1130–1139 (1976)

    Google Scholar 

  5. Byng, J., Boyd, N.F., Fishell, E., Jong, R., Yaffe, M.J.: The Quantitative Analysis of Mammographic Densities. Phys. Med.Biol. 39, 1629–1638 (1994)

    Article  Google Scholar 

  6. Highnam, R.P., Jeffreys, M., McCormack, V., Warren, R., Davey Smith, G., Brady, M.: Comparing Measurements of Breast Density. Phys.Med.Biol 52, 5881–5895 (2007)

    Article  Google Scholar 

  7. Kopans, D.B.: Basic Physics and Doubts about Relationship between Mammographically Determined Tissue Density and Breast Cancer Risk. Radiology 246, 348–353 (2008)

    Article  Google Scholar 

  8. Pawluczyk, O., Augustine, B.J., Yaffe, M.J., Rico, D., Yang, J., Mawdsley, G.E., Boyd, N.F.: A Volumetric Method for Estimation of Breast Density on Digitized Screen-Film Mammograms. Medical Physics 30, 352–364 (2003)

    Article  Google Scholar 

  9. Shepherd, J.: Automated Volumetric Density. In: 3rd International Breast Density Workshop, http://www.cpmc.org/professionals/research/programs/decosta/workshopnotes.html

  10. Diffey, J., Hufton, A., Astley, S.: A New Step-Wedge for the Volumetric Measurement of Mammographic Density. In: 8th International Workshop on Digital Mammography (2006)

    Google Scholar 

  11. van Engeland, S., Snoeren, P.R., Huisman, H., Boetes, C., Karssemeijer, N.: Volumetric Breast Density Estimation from Full-Field Digital Mammograms. IEEE Medical Imaging 25, 273–282 (2006)

    Article  Google Scholar 

  12. Highnam, R.P., Brady, M.: Mammographic Image Analysis. Kluwer Academic Publishers, Dordrecht (1999)

    MATH  Google Scholar 

  13. Highnam, R.P., Pan, X., Warren, R., Jeffreys, M., Davey Smith, G., Brady, M.: Breast Composition Measurements Using Retrospective SMF. Phys. Med. Biol. 51, 2695–2713 (2006)

    Article  Google Scholar 

  14. Jeffreys, M., Warren, R., Highnam, R.P., Davey Smith, G.: Initial Experiences of Using an Automated Volumetric Measure of Breast Density: SMF. British Journal Radiology 76, 561–563 (2003)

    Article  Google Scholar 

  15. McCormack, V., Highnam, R.P., Perry, N., dos Santos Silva, I.: Comparison of a New and Existing Method of Mammographic Density Measurement. Cancer Epidemiol. Biomarkers Prev. 16(16), 1148–1154 (2007)

    Article  Google Scholar 

  16. Ding, J., Warren, R., Warsi, I., Day, N., Thompson, D., Brady, M., Tromans, C., Highnam, R.P., Easton, D.: Evaluating the Effectiveness of Using Standard Mammogram Form to Predict Breast Cancer Risk: Case Control Study. Cancer Epidemiol Biomarkers Prev. (June 2008) (in press)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Elizabeth A. Krupinski

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hartman, K., Highnam, R., Warren, R., Jackson, V. (2008). Volumetric Assessment of Breast Tissue Composition from FFDM Images. In: Krupinski, E.A. (eds) Digital Mammography. IWDM 2008. Lecture Notes in Computer Science, vol 5116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70538-3_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-70538-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70537-6

  • Online ISBN: 978-3-540-70538-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics