Information theoretic deformable registration using local image information

International Journal of Computer Vision

Volumn 72, Issue 3, 2007, Pages 219-237

  Karaçali, Bilge ^a  

^a DREXEL UNIVERSITY   (United States)

Author keywords

Deformable image registration; Energy minimization; Information theoretic image similarity; Joint entropy; Multi modality images; Mutual information

Indexed keywords

DEFORMABLE IMAGE REGISTRATION; ENERGY MINIMIZATION; INFORMATION THEORETIC IMAGE SIMILARITY; JOINT ENTROPY; MULTI-MODALITY IMAGES; MUTUAL INFORMATION;

ALGORITHMS; COMPUTER VISION; ELASTICITY; ENERGY UTILIZATION; OPTIMIZATION; PROBABILITY DENSITY FUNCTION;

IMAGE RECONSTRUCTION;

EID: 33846211066     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-006-8704-0     Document Type: Article

References (28)

1. Breiman, L. 1993. Hinging hyperplanes for regression, classification, and function approximation. IEEE Transactions on Information Theory, 39(3):999-1013.
2. Collignon, A., Maes, F., Delaere, D., Vandermeulen, D., Suetens, P., and Marchal, G. 1995. Automated multimodality image registration using information theory. In Proceedings of Information Processing in Medical Imaging, pp. 263-274.
3. Collignon, A., Vandermeulen, D., Suetens, P., and Marchal, G. 1995. 3d multimodality medical image registration using feature space clustering. In Computer Vision, Virtual Reality and Robotics in Medicine, pp. 195-204.
4. Cram, W.R., Griffin, L.D., Hill, D.L.G., and Hawkes, D.J. 2003. Zen and the art of medical image registration: Correspondence, homology and quality. NeuroImage, 20:1425-1437.
5. Hallpike, L. and Hawkes, D.J. 2002. Medical image registration: An overview. Imaging, 14:455-463.
6. Karaçali, B. 2004. Fully elastic multi-modality image registration using mutual information. In IEEE International Symposium on Biomedical Imaging, pp. 1455-1458.
7. Kim, J. and Fessler, J.A. 2002. Image registration using robust correlation. In Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 353-356.
8. Maes, F., Collignon, A., Vandermuelen, D., Marchal, G., and Suetens, P. 1997. Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging, 16:187-198.
9. Maintz, J.B.A., vandenElsen, P.A., and Viergever, M.A. 1996a. Comparison of edge-based and ridge-based registration of ct and mr brain images. Medical Image Analysis, 1(2):151-161.
10. Maintz, J.B.A., vandenElsen, P.A., and Viergever, M.A. 1996b. Evaluation of ridge seeking operators for multimodality medical image matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(4):353-365.
11. Mattes, D., Haynor, D.R., Vesselle, H., Lewellen, T.K., and Eubank, W. 2003. Pet-ct image registration in the chest using free-form deformations. IEEE Transactions on Medical Imaging, 22(1):120-128.
12. Paillou, P. and Gelautz, M. 1999. Relief reconstruction from sar stereo pairs: The "optimal gradient" matching method. IEEE Transactions on Geoscience and Remote Sensing, 37(4):2099-2107.
13. Penney, G.P., Weese, J., Little, J.A., Desmedt, P., Hill, D.L.G., and Hawkes, D.J. 1998. A comparison of similarity measures for use in 2-d-3-d medical image registration. IEEE Transactions on Medical Imaging, 17(4):586-595.
14. Pluim, J.P.W. and Fitzpatrick, J.M. 2003. Image registration. IEEE Transactions on Medical Imaging, 22(11):1341-1343.
15. Pluim, J.P.W., Maintz, J.B.A., and Viergever, M.A. 2000. Image registration by maximization of combined mutual information and gradient information. IEEE Transactions on Medical Imaging, 19(8):809-814.
16. Pluim, J.P.W., Maintz, J.B.A., and Viergever, M.A. 2001. f-information measures in medical image registration. In Proceedings of the SPIE, vol. 4322, pp.79-587.
17. Pluim, J.P.W., Maintz, J.B.A., and Viergever, M.A. 2003. Mutual-information-based registration of medical images: A survey. IEEE Transactions on Medical Imaging, 22(8):986-1004.
18. Roche, A., Malandain, G., Pennec, X., and Ayache, N. 1998. Multimodal registration by maximization of the correlation ratio. Technical report, INRIA.
19. Rogejl, P., Kovacic, S., and Gee, J.C. 2003. Point similarity measures for non-rigid registration of multi-modal data. Computer Vision and Image Understanding, 92:112-140.
20. Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., and Hawkes, D.J. 1999. Nonrigid registration using free-form deformations: Application to breast mr images. IEEE Transactions on Medical Imaging, 18(8):712-721.
21. Scharstein, D. 1994. Matching images by comparing their gradient fields. In Proceedings of the International Conference on Pattern Recognition, pp. 572-575.
22. Studholme, C., Hill, D., and Hawkes, D. 1995. Multiresollution voxel similarity measures for mr-pet registration. In Proceedings of Information Processing in Medical Imaging, pp. 287-298.
23. Toga, A.W. and Thompson, P.M. 2001. The role of image registration in brain mapping. Image and Vision Computing, 19:3-24.
24. Viola, P. and Wells, W.M. 1995. Alignment by maximization of mutual information. In Proceedings of the 5th International Conference on Computer Vision, pp. 12-23.
25. Wei, Q.Q., Brauer W., and Hirzinger, G. 1998. Intensity - and gradient-based stereo matching using hierarchical gaussian basis functions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1143-1160.
26. Wells, W.M., Viola, P., and Kikinis, R. 1995. Multi-modal volume registration by maximization of mutual information. In Proceedings of the 2nd Annual International Symposium on Medical Robotics and Computer Assisted Surgery, pp. 55-62.
27. West, J., Fitzpatric, J.M. et al. 1997. Comparison and evaluation of retrospective intermodality brain image registration techniques. Journal of Computer Assisted Tomogmphy, 21(4):554-568.
28. Woods, R., Mazziotta, J., and Cherry, S. 1993. Mri-pet registration with automated algorithm. Journal of Computer Assisted Tomography, 17:536-546.