Skip to main content

Mapping Microcalcifications Between 2D Mammograms and 3D MRI Using a Biomechanical Model of the Breast

  • Conference paper
  • First Online:
Computational Biomechanics for Medicine

Abstract

We propose a method to localise the 3D positions of microcalcifications found in X-ray mammograms using the 3D breast modelling framework of Chung et al. [1]. The accuracy of the method was first studied using a phantom embedded with X-ray visible beads. The phantom was subjected to mammographic-like compressions and imaged under X-ray to determine the positions of the beads. Using these data as inputs, the proposed modelling framework was used to predict the bead positions in the uncompressed phantom, which were also determined experimentally using bi-plane X-ray. The bead locations were reconstructed to within 2.8, 3.6 and 2.1 mm. The proposed method was demonstrated on a clinical case by successfully reconstructing the 3D positions of microcalcifications identified in X-ray mammograms and mapping them to a 3D MR data set of the same breast, demonstrating its potential to reliably track such features across different imaging modalities.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Chung, J., Rajagopal, V., Nielsen, P., Nash, M.: Modelling mammographic compression of the breast. Lecture Notes in Computer Science, 5242, 758–765 (2008)

    Article  Google Scholar 

  2. Zhang, Y., Qiu, Y., Goldgof, D., Sarkar, S., Li, L.: 3D finite element modeling of nonrigid breast deformation for feature registration in X-ray and MR images. In: Proceedings of the Eigth IEEE Workshop on Applications of Computer Vision, IEEE, p.38 (2007)

    Google Scholar 

  3. Ruiter, N., Stotzka, R.: Model-based registration of X-ray mammograms and MR images of the female breast. IEEE Transactions on Nuclear Science, 53, 204–211 (2006)

    Article  Google Scholar 

  4. Pathmanathan, P., Gavaghan, D., Whitely, J., Chapman, S., Brady, J.: Predicting tumor location by modelling the deformation of the breast. IEEE Transactions on Biomedical Engineering, 55, 2471–2480 (2008)

    Article  Google Scholar 

  5. Samani, A., Bishop, J., Yaffe, M., Plewes, D.: Biomechanical 3D finite element modeling of the human breast using MRI data. IEEE Transactions on Medical Imaging, 20, 271–279 (2001)

    Article  Google Scholar 

  6. Chung, J., Rajagopal, V., Nielsen, P., Nash, M.: A biomechanical model of mammographic compressions. Biomechanics and Modeling in Mechanobiology, 7, 43–52 (2008)

    Article  Google Scholar 

  7. Zienkiewicz, O., Taylor, R.: The finite element method: solid mechanics, 5 Ed, Vol. 2. Butterworth-Heinemann, Oxford (2000)

    Google Scholar 

  8. Laursen, T.: Computational contact and impact mechanics. Springer, Berlin (2002)

    MATH  Google Scholar 

  9. Chung, J., Rajagopal, V., Laursen, T., Nielsen, P., Nash, M.: Frictional contact mechanics methods for soft materials: application to tracking breast cancers. Journal of Biomechanics, 41, 69–77 (2008)

    Article  Google Scholar 

  10. Malvern, L.: Introduction to the mechanics of a continuous medium. Prentice-Hall, Englewood cliffs, NJ (1969)

    Google Scholar 

  11. Rajagopal, V., Lee, A., Chung, J., Warren, R., Highnam, R., Nash, M., Nielsen, P.: Creating individual-specific biomechanical models of the breast for medical image analysis. Academic Radiology, 15, 1425–1436 (2008)

    Article  Google Scholar 

  12. Chung, J.: Modelling mammographic mechanics. PhD thesis, University of Auckland (2007)

    Google Scholar 

Download references

Acknowledgment

We gratefully acknowledge financial support from the New Zealand Government’s Foundation for Research Science & Technology (UOAX0707). M.P. Nash is supported by a James Cook Fellowship administered by the Royal Society of New Zealand on behalf of the New Zealand Government.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vijay Rajagopal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media, LLC

About this paper

Cite this paper

Rajagopal, V., Chung, JH., Highnam, R.P., Warren, R., Nielsen, P.M., Nash, M.P. (2010). Mapping Microcalcifications Between 2D Mammograms and 3D MRI Using a Biomechanical Model of the Breast. In: Miller, K., Nielsen, P. (eds) Computational Biomechanics for Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5874-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-5874-7_3

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-5873-0

  • Online ISBN: 978-1-4419-5874-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics