A minimum description length objective function for groupwise non-rigid image registration

Image and Vision Computing

Volumn 26, Issue 3, 2008, Pages 333-346

  Marsland, Stephen ^a   Twining, Carole J ^b   Taylor, Chris J ^b  

^a MASSEY UNIVERSITY   (New Zealand)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Groupwise registration; Image registration; Minimum description length (MDL); Non rigid registration

Indexed keywords

IMAGE CODING; MATHEMATICAL MODELS; MODAL ANALYSIS; PROBLEM SOLVING;

GROUPWISE REGISTRATION; MINIMUM DESCRIPTION LENGTH (MDL); NON RIGID REGISTRATION;

IMAGE REGISTRATION;

EID: 36549030808     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2006.12.009     Document Type: Article

References (25)

1. M. Bro-Nielsen, C. Gramkow, Fast fluid registration of medical images, in: Proceedings of Visualization in Biomedical Computing (VBC), 1996, pp. 267-276.
2. Rueckert D., Sonoda L.I., Hayes C., Hill D.L.G., Leach M.O., and Hawkes D.J. Non-rigid registration using free-form deformations: application to breast MR images. IEEE Transactions on Medical Imaging 18 8 (1999) 712-721
3. Gee J., Reivich M., and Bajcsy R. Elastically deforming 3D atlas to match anatomical brain images. Journal of Computer Assisted Tomography 17 2 (1993) 225-236
4. Chefd'Hotel C., Hermosillo G., and Faugeras O. Variational methods for multimodal image matching. International Journal of Computer Vision 50 3 (2002) 329-343
5. Zitová B., and Flusser J. Image registration methods: a survey. Image and Vision Computing 21 (2003) 977-1000
6. Ferrant M., Warfield S.K., Guttmann C.R.G., Mulkern R.V., Jolesz F.A., and Kikinis R. 3D image matching using a finite element based elastic deformation model. Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI). Lecture Notes in Computer Science vol. 1679 (1999), Springer-Verlag 202-209
7. Hagemann A., Rohr K., Stiehl H.S., Spetzger U., and Gilsbach J.M. Biomechanical modelling of the human head for physically based, nonrigid registration. IEEE Transactions on Medical Imaging 18 10 (1999) 875-884
8. Schnabel J.A., Tanner C., Smith A.C., Leach M.O., Hayes C., Degenhard A., Hose R., Hill D.L.G., and Hawkes D.J. Validation of non-rigid registration using finite element methods. Proceedings of the 17th International Conference on Information Processing in Medical Imaging (IPMI). Lecture Notes in Computer Science vol. 2082 (2001), Springer-Verlag 344-357
9. Marsland S., and Twining C. Constructing diffeomorphic representations for the groupwise analysis of non-rigid representations of medical images. IEEE Transactions on Medical Imaging 23 8 (2004) 1006-1020
10. Marsland S., and Twining C.J. Constructing data-driven optimal representations for iterative pairwise non-rigid registration. In: Gee J.C., Maintz J.A., and Vannier M.W. (Eds). Proceedings of the Second International Workshop on Biomedical Image Registration (WBIR). Lecture Notes in Computer Science vol. 2717 (2003), Springer-Verlag 50-60
11. Marsland S., Twining C.J., and Taylor C.J. Groupwise non-rigid registration using polyharmonic clamped-plate splines. Proceedings of Medical Image Computing and Computer-Aided Intervention (MICCAI). Lecture Notes in Computer Science vol. 2879 (2003), Springer-Verlag 771-779
12. Christensen G.E., and Johnson H.J. Consistent image registration. IEEE Transactions on Medical Imaging 20 7 (2001) 568-582
13. Rissanen J. Stochastic Complexity in Statistical Inquiry (1989), World Scientific Press, Singapore
14. Davies R.H., Twining C.J., Cootes T.F., Waterton J.C., and Taylor C.J. 3D statistical shape models using direct optimisation of description length. Proceedings of the 7th European Conference on Computer Vision (ECCV). Lecture Notes in Computer Science vol. 2352 (2002), Springer 3-20
15. P. Hraber, B. Korber, S. Wolinsky, H. Erlich, E. Trachtenberg, T. Kepler, HLA and HIV infection progression: application of the minimum description length principle to statistical genetics, Santa Fe Institute Working Paper 03-04-023.
16. Cootes T.F., Taylor C.J., Cooper D.H., and Graham J. Active shape models - their training and application. Computer Vision and Image Understanding 61 1 (1995) 38-59
17. Pizer S.M., Eberly D., Fritsch D.S., and Morse B.S. Zoom-invariant vision of figural shape: the mathematics of cores. Computer Vision and Image Understanding 69 1 (1998) 55-71
18. Cootes T.F., Edwards G.J., and Taylor C.J. Active appearance models. In: Burkhardt H., and Neumann B. (Eds). Proceedings of the European Conference on Computer Vision (ECCV). Lecture Notes in Computer Science vol. 1407 (1998), Springer 484-498
19. Shannon C. A mathematical theory of communication. Bell System Technical Journal 27 (1948) 379-423 623-656
20. C.J. Twining, S. Marsland, C.J. Taylor, Measuring geodesic distances on the space of bounded diffeomorphisms, in: Proceedings of the British Machine Vision Conference (BMVC), Cardiff, vol. 2, 2002, pp. 847-856.
21. Bhatia K.K., Hajnal J.V., Puri B.K., Edwards A.D., and Rueckert D. Consistent groupwise non-rigid registration for atlas construction. Proceedings of the IEEE Symposium on Biomedical Imaging (ISBI 2004) (2004) 908-911
22. C. Twining, S. Marsland, C. Taylor, A unified information-theoretic approach to the correspondence problem in image registration, in: Proceedings of International Conference on Pattern Recognition (ICPR), vol. 3, 2004, pp. 704-709.
23. Viola P., and Wells III W.M. Alignment by maximization of mutual information. International Journal of Computer Vision 24 (1997) 137-154
24. Maes F., Collignon A., Vandermeulun D., Marchal G., and Suetens P. Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging 16 (1997) 187-198
25. Studholme C., Hawkes D.J., and Hill D.L.G. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32 (1999) 71-86