Skip to main content

Ultrasound to Magnetic Resonance Volume Registration for Brain Sinking Measurement

  • Conference paper
  • First Online:
Pattern Recognition and Image Analysis (IbPRIA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2652))

Included in the following conference series:

  • 892 Accesses

Abstract

This paper addresses the registration of ultrasound scans and magnetic resonance (MR) volume datasets of the same patient. During a neurosurgery intervention, pre–operative MR images are often employed as a guide despite the fact that they do not show the actual state of the brain, which sometimes has sunk up to 1 cm. By means of a standard ecographer and a tracker connected to a computer, it is feasible to build on-line an updated picture of the brain. We propose an algorithm which first composes the volume ecography of the brain and registers it to the MR volume. Next, it aligns individual B-scans into the MR volume, thus providing a measure of the suffered deformation.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Prager, R.W., Rohling, R.N., Gee, A.H., Berman, L.: Automatic calibration for 3–D free-hand ultrasound. Tech. Report CUED/F-INFENG/TR 303, Cambridge University, Department of Engineering (1997)

    Google Scholar 

  2. López, A.M., Lloret, D., Serrat, J., Villanueva, J.: Multilocal creaseness based on the level set extrinsic curvature. Computer Vision and Image Understanding 77, 111–144 (2000)

    Article  Google Scholar 

  3. Roberts, D., Hartov, A., et al.: Intraoperative brain shift and deformation: A quantitative analysis of cortical displacement in 28 cases. Neurosurgery 43(4), 749–760 (1998)

    Article  Google Scholar 

  4. Maurer, C.R., Hill, D.L.G., et al.: Measurement of intraoperative brain deformation using a 1.5 tesla interventional MR system: Preliminary results. IEEE Transactions on medical imaging 17(5), 817–825 (1998)

    Article  Google Scholar 

  5. Roche, A., Pennec, X., Malandain, G.: Rigid registration of 3d ultrasound with mr images: a new approach combining intensitya nd gradient information. IEEE Transactions on medical imaging 20(10), 1038–1049 (2001)

    Article  Google Scholar 

  6. Xiao, G., Brady, J.M., Noble, J.A.: Nonrigid registration of 3d free-hand ultrasound images of the breast. IEEE Transactions on medical imaging 21(4), 405–412 (2002)

    Article  Google Scholar 

  7. Lloret, D.: Medical image registration based on a creaseness measure. PhD Thesis dissertation. Computer Vision Center, Universitat Autonoma de Barcelona (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lloret, D., Serrat, J., López, A.M., Villanueva, J.J. (2003). Ultrasound to Magnetic Resonance Volume Registration for Brain Sinking Measurement. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-44871-6_49

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40217-6

  • Online ISBN: 978-3-540-44871-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics