On Elastic Image Registration with Varying Material Parameters | SpringerLink
Skip to main content

On Elastic Image Registration with Varying Material Parameters

  • Conference paper
Bildverarbeitung für die Medizin 2005

Part of the book series: Informatik aktuell ((INFORMAT))

  • 945 Accesses

Abstract

In this paper we are concerned with elastic image registration. Usually elastic approaches assume constant material parameters and result in a smooth displacement field. This approach has its shortcomings for images with varying elastic properties, like bones and soft tissue. Here, we present a scheme which not only allows for spatially varying material properties but enables the introduction of discontinuities within the displacement field. First numerical test runs for phantom images as well as for MR images indicate the potential of the discussed scheme.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 12828
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 16036
Price includes VAT (Japan)
  • 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.

Similar content being viewed by others

References

  1. Rohde GK, Aldroubi A, Dawant BM. The Adaptive Bases Algorithm for Intensity-Based Nonrigid Image Registration. IEEE Trans Med Imaging 2003;22(11):1470–1479.

    Article  Google Scholar 

  2. Soza G, Hastreiter P, Vega F, et al. Non-linear Intraoperative Correction of Brain Shift with 1.5 T Data. In: Procs BVM; 2003. p. 21–25.

    Google Scholar 

  3. Edwards PJ, Hill DLG, Little JA, et al. A three-component deformation model for image guided surgery. Med Image Anal 1998;2(4):355–367.

    Article  Google Scholar 

  4. Rexilius J, Handels H, Nabavi A, et al. Automatic Nonrigid Registration for Tracking Brain Shift During Neurosurgery. In: Procs BVM; 2002. p. 135–138.

    Google Scholar 

  5. Ferrant M, Nabavi A, Jolesz FA, et al. Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model. IEEE Trans Med Imaging 2001;20(12):1384–1397.

    Article  Google Scholar 

  6. Hagemann A. A Biomechanical Model of the Human Head with Variable Material Properties for Intraoperative Image Correction. Logos, Berlin; 2001.

    Google Scholar 

  7. Davatzikos C. Nonlinear Registration of Brain Images Using Deformable Models. In: Proc. of the IEEE Workshop on Math. Methods in Biomedical Image Analysis; 1996. p. 94–103.

    Google Scholar 

  8. Fischer B, Modersitzki J. Fast inversion of matrices arising in image processing. Num Algo 1999;22:1–11.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kabus, S., Franz, A., Fischer, B. (2005). On Elastic Image Registration with Varying Material Parameters. In: Meinzer, HP., Handels, H., Horsch, A., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26431-0_68

Download citation

Publish with us

Policies and ethics