Edgeworth-based approximation of mutual information for medical image registration

2010 2nd International Conference on Image Processing Theory, Tools and Applications, IPTA 2010

Volumn , Issue , 2010, Pages 195-200

  Rubeaux, Mathieu ^a,b   Nunes, Jean Claude ^a,b   Albera, Laurent ^a,b   Garreau, Mireille ^a,b  

^a INSERM   (France)

^b UNIVERSITÉ DE RENNES 1   (France)

Author keywords

Cardiac images; Cumulants; Edgeworth expansions; Image registration; MSCT; Mutual information

Indexed keywords

COMPUTATION THEORY; COMPUTERIZED TOMOGRAPHY; IMAGE REGISTRATION; INDEPENDENT COMPONENT ANALYSIS; MOTION ESTIMATION;

CARDIAC IMAGES; CUMULANTS; EDGEWORTH EXPANSION; MSCT; MUTUAL INFORMATIONS;

MEDICAL IMAGING;

EID: 78049524841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPTA.2010.5586789     Document Type: Conference Paper

References (15)

1. J. Maintz and M. Viergever, "A survey of medical image registration," Medical Image Analysis, vol. 2, no. 1, pp. 1-36, 1998.
2. J. Pluim, J. Maintz, and M. Viergever, "Mutual information based registration of medical images: a survey," IEEE Transactions on Medical Imaging, vol. 22, no. 8, pp. 986-1004, Aug. 2003.
3. P. Viola and W. Wells, "Alignement by maximization of mutual information," in International Conference on Computer Vision, IEEE Computer Society Press, Los Alamitos, CA, 1995, pp. 16-23.
4. A. Collignon, D. Vandermulen, P. Suetens, and G. Marchal, "3D Multi-Modality Medical Image Registration Using Feature Space Clustering," CVRMed '95: Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine, vol. 905, pp. 195-204, 1995.
5. M. Basseville, "Distance measures for signal processing and pattern recognition," Signal Processing, vol. 18, no. 4, pp. 349-369, 1989.
6. C. Studholme, D. L. G. Hill, and D. J. Hawkes, "An overlap invariant entropy measure of 3d medical image alignment," Pattern Recognition, vol. 32, no. 1, pp. 71-86, 1999.
7. R. Moddemeijer, "On estimation of entropy and mutual information of continuous distributions," Signal Processing, vol. 16, pp. 233-248, March 1989.
8. G. Mars, N.J.I. Van Arragon, "Time delay estimation in non-linear systems using average amount of mutual information analysis," Signal Processing, vol. 4, pp. 139-153, 1982.
9. Y.-I. Moon, B. Rajagopalan, and U. Lall, "Estimation of mutual information using kernel density estimators," Phys. Rev. E, vol. 52, no. 3, pp. 2318-2321, Sept 1995.
10. P. Comon, "Independent Component Analysis, a new concept ?" Signal Processing, Elsevier, vol. 36, no. 3, pp. 287-314, April 1994.
11. S. Amari, A. Cichocki, and H. H. Yang, "A new learning algorithm for blind signal separation," Advances in Neural Information Processing Systems, In David S. Touretzky, Michael C. Mozer, and Michael E. Hasselmo, editors, The MIT Press, vol. 8, pp. 757-763, 1996.
12. M. M. Van Hulle, "Edgeworth approximation of multivariate differential entropy," Neural Comput., vol. 17, no. 9, pp. 1903-1910, 2005.
13. C. Shannon, "A mathematical theory of communication," Bell Syst. Tech. J., vol. 27, pp. 379-423/623-656, 1948.
14. O. B.-N. Cox, Asymptotic techniques for use in statistics, ser. (Monographs on statistics and applied probability). Chapman and Hall, 1989.
15. D. Rueckert, L. Sonoda, C. Hayes, D. Hill, M. Leach, and D. Hawkes, "Nonrigid, registration using free-form deformations: Application to breast MR images," IEEE Transactions on Medical Imaging, vol. 18, no. 8, pp. 712-721, Aug. 1999. [Online]. Available: 1999/rueckert1999.pdf