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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
Hartiala, J. and Knuuti, J.: (1995). Imaging of heart by MRI and PET. Ann. Med., 27 1995 35–45.
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.
Borgefors G.: Hierarchical chamfer matching: A parametric edge matching algorithm. IEEE Trans. Pattern Anal. Machine Intell., 6 1988 849–865.
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.
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.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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