Skip to main content

Evaluation and Comparison of Surface and Intensity Based Rigid Registration Methods for Thorax and Cardiac MR and PET Images

  • Conference paper
  • First Online:
Functional Imaging and Modeling of the Heart (FIMH 2003)

Abstract

In this paper an evaluation and a comparison of surface and image intensity based (mutual information, normalized mutual information and correlation ratio) rigid registration methods for cardiac magnetic resonance and positron emission tomography images are presented. In both types of rigid image registration methods, PET transmission image was used as a linking mediator to register corresponding PET emission image to MR image coordinates. Also direct rigid registration of PET emission image to MR image coordinates was tested. Methods were evaluated with simulated and ten patient MR - PET images and with three optimization methods. Results indicated that NMI and CR methods with simplex optimization provided the most robust and accurate results.

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. Mäkelä, T., Clarysse, P., Sipilä, O., Pauna, N., Pham, Q., Katila, T., Magnin,.E.: A review of cardiac image registration methods. IEEE Trans. Med. Imaging, 21 2002 1011–1021.

    Article  Google Scholar 

  2. Mäkelä, T. J., Clarysse, P., Lötjönen, J., Sipilä, O., Lauerma, K., Hanninen, H., Pyokkimies, E.-P., Nenonen, J., Knuuti, J., Katila, T., and Magnin, I. E.: A new method for the registration of cardiac PET and MR images using deformable model based segmentation of the main thorax structures. In Niessen, W. and Viergever, M., editors, Lecture Notes in Computer Science 2208:MICCAI01, 2001 557–564.

    Google Scholar 

  3. Carrillo, A., Duerk, J., Lewin, J., Wilson, D.: Semiautomatic 3-D image registration as applied to interventional MRI liver cancer treatment. IEEE Trans. Med. Imaging 19 2001 175–185.

    Article  Google Scholar 

  4. Slomka P. J., Dey D., Przetak C., and Baum R.: Automated nonlinear 3-D registration of 18-F FDG wholebody PET with thoracic CT, J. Nucl. Med., 42:5 2001

    Google Scholar 

  5. Zhenghong, L., Berridge, M.S.: PET imaging-based evaluation of aerosol drugs and their delivery devices: nasal and pulmonary studies. IEEE Trans. Med. Imaging 21 2002 1324–1331.

    Article  Google Scholar 

  6. Roche A. and Pennec X. and Malandain G. and Ayache N.: Rigid Registration of 3-D Ultrasound With MR Images: A New Approach Combining Intensity and Gradient Information. IEEE Trans. Med. Imaging 20 2001 1038–1049.

    Article  Google Scholar 

  7. Lötjönen J., Reissman P.-J., Magnin I.E. and Katila T.: Model extraction from magnetic resonance volume data using the deformable pyramid. Medical Image Analysis, 4 1999 387–406.

    Article  Google Scholar 

  8. Press, W.H., Teukolsky, S.A., Vetterling, W.T., and Flannery, B.P.: Numerical Recipes in C: The art of scientific computing 2nd Edition. Cambridge Univ. Press, Cambridge, 1992.

    Google Scholar 

  9. Pauna N., Croisille P., Costes N., Reilhac A., Mäkelä T., Onuc C., Janier M., Clarysse P.: A strategy to quantitatively evaluate MRI/PET cardiac registration methods using a Monte Carlo simulator. Accepted to FIMH2003.

    Google Scholar 

  10. Reilhac A., Gregoire M.-C., Costes N., Lavanne, F., Pierre C., Diou A., and Pujol J.-F.: A PET Monte Carlo simulator from numerical phantom: Validation against the EXACT ECAT HR+ scanner. In Proc. IEEE Nuclear Sciences Symposium, vol. 3 1999 1527–1531.

    Google Scholar 

  11. Reilhac A., Lartizien C., Costes N., Sans S., Comtat C., Evans A.: Accounting for singes rates related phenomena in PET Monte-Carlo based simulations. In IEEE Nuclear Sciences Symposium, 2002, in press.

    Google Scholar 

  12. Hartiala, J. and Knuuti, J.: (1995). Imaging of heart by MRI and PET. Ann. Med., 27 1995 35–45.

    Article  Google Scholar 

  13. Lauerma K., Niemi P., Hanninen H., Janatuinen T., Voipio-Pulkki L., Knuuti J., Toivonen L., Mäkelä T., Makijarvi M. A., Aronen H. J.: Multimodality MR imaging assessment of myocardial viability: combination of first-pass and late contrast enhancement to wall motion dynamics and comparison with FDG-PET. Radiology, 217 2000 729–736.

    Google Scholar 

  14. Borgefors G.: Hierarchical chamfer matching: A parametric edge matching algorithm. IEEE Trans. Pattern Anal. Machine Intell., 6 1988 849–865.

    Article  Google Scholar 

  15. Maes F., Collignon A., Vandermeulen D., Marchal G. and Suetens P.: Multimodality Image Registration by Maximization of Mutual Information. IEEE Trans. Med. Imaging 16:2 1997 187–198.

    Article  Google Scholar 

  16. Holden M., Hill D., Denton E., Jarosz J., Cox T., Rohlng T., Goodey J., Hawkes D.: Voxel similarity measures for 3-D serial MR brain image registration. IEEE Trans. Med. Imaging 19:2 2000 94–102.

    Article  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

Mäkelä, T. et al. (2003). Evaluation and Comparison of Surface and Intensity Based Rigid Registration Methods for Thorax and Cardiac MR and PET Images. In: Magnin, I.E., Montagnat, J., Clarysse, P., Nenonen, J., Katila, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2003. Lecture Notes in Computer Science, vol 2674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44883-7_23

Download citation

  • DOI: https://doi.org/10.1007/3-540-44883-7_23

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40262-6

  • Online ISBN: 978-3-540-44883-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics