Point similarity measure based on mutual information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2717, Issue , 2003, Pages 112-121

  Rogelj, Peter ^a   Kovačič, Stanislav ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERS;

IMAGE INTENSITIES; IMAGE REGIONS; LARGE IMAGES; MULTI MODALITY IMAGE; MUTUAL INFORMATIONS; SIMILARITY MEASURE; SPATIAL DEFORMATION; SPATIAL REGULARIZATIONS;

ARTIFICIAL INTELLIGENCE;

EID: 0142152401     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39701-4_12     Document Type: Article

References (15)

1. M. Bro-Nielsen. Medical Image Registration and Surgery Simulation. PhD thesis, Department of Mathematical Modelling, Technical University of Denmark, 1996.
2. A. Collignon, F. Maes, D. Delaere, D. Vandermeulen, P. Suetens, and G. Marchal. Automated multi-modality image registration based on information theory. In Y. Bizais, C. Barillot, and R. Di Paola, editors, Information processing in medical imaging 1995, pages 263-274. Kluwer Academic, 1995.
3. T. Gaens, F. Maes, D. Vandermeulen, and Suetens P. Non-rigid multimodal image registration using mutual information. In W.M. Wells, A. Colchester, and S. Delp, editors, Proceedings of the 1st International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI'98, number 1496 in Lecture Notes in Computer Science, pages 1099-1106, MIT, Cambridge, MA, USA, October 1998. Springer-Verlag.
4. R.K.-S. Kwan, A.C. Evans, and G. B. Pike. An extensible MRI simulator for post-processing evaluation. In Visualization in Biomedical Computing (VBC'96), volume 1131 of Lecture Notes in Computer Science, pages 135-140. Springer-Verlag, May 1996.
5. H. Lester and S. R. Arridge. A survey of hierarchical non-linear medical image registration. Pattern Recognition, 32(1): 129-149, 1999.
6. B. Likar and F. Pernuš. A hierarchical approach to elastic registration based on mutual information. Image and Vision Computing, 19:33-44, 2001.
7. J. B. A. Maintz, H. W. Merjering, and M. A Viergever. General multimodal elastic registration based on mutual information. In K.M. Hanson, editor, Medical Imaging 1998: Image Processing, volume 3338 of Proc. SPIE, pages 144-154. SPIE Press, Bellingham, WA, 1998.
8. D. Mattes, D. R. Haynor, H. Vesselle, T. K. Lewellen, and W. Eubank. Non-rigid multimodality image registration. In M. Sonka and K.M. Hanson, editors, Medical Imaging 2001: Image Processing, volume 4322 of Proc. SPIE. SPIE Press, Bellingham, WA, 2001.
9. J. P. W. Pluim, J. B. A. Maintz, and M. A. Viergever. Interpolation artefacts in mutual information based image registration. Computer Vision and Image Understanding, 77(2):211-232, 2000.
10. P. Rogelj and S. Kovačič. Similarity measures for non-rigid registration. In M. Sonka and K.M. Hanson, editors, Medical Imaging 2001: Image Processing, volume 4322 of Proc. SPIE, pages 569-578. SPIE Press, Bellingham, WA, 2001.
11. G. K. Rohde, A Aldroubi, and B. M. Dawant. Adaptive free-form deformation for inter-patient medical image registration. In The Proceedings of the SPIE Symposium on Medical Imaging 2001, 2001.
12. D. Rueckert, L.I. Sonoda, C. Hayes, D.L.G. Hill, M.O. Leach, and D.J. Hawkes. Nonrigid registration using free-form deformations: Application to breast mr images. IEEE Transactions on Medical Imaging, 18(8):712-721, August 1999.
13. C. Studholme, D.L.G. Hill, and D.J. Hawkes. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition, 32:71-86, 1999.
14. P. Thompson and A. W. Toga. Warping strategies for intersubject registration. In I. Bankman, editor, Handbook of Medical Image Processing. Academic Press, 1999.
15. P. Viola and W. Wells III. Alignment by maximization of mutual information. In Proceedings of the 5th International Conference on Computer Vision, pages 16-23, 1995.