Local intensity mapping for hierarchical non-rigid registration of multi-modal images using the cross-correlation coefficient

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

Volumn 4057 LNCS, Issue , 2006, Pages 26-33

  Andronache, Adrian ^a   Cattin, Philippe ^a   Székely, Gábor ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; HIERARCHICAL SYSTEMS; PROBLEM SOLVING; RELIABILITY; STATISTICAL METHODS;

CROSS-CORRELATION COEFFICIENT; LOCAL INTENSITY MAPPING; MULTI-MODAL IMAGES;

IMAGING SYSTEMS;

EID: 33746347413     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11784012_4     Document Type: Conference Paper

References (15)

1. Maintz, J., Viergever, M.: A survey of medical image registration. Medical Image Analysis 2 (1998) 1-36
2. Hajnal, J.V., Hill, D.L., Hawkes, D.J.: Medical Image Registration. CRC Press (2001)
3. Hill, D.L.G., Batchelor, P.G., Holden, M., Hawkes, D.J.: Medical image registration. PHYSICS IN MEDICINE AND BIOLOGY 46 (2001)
4. Maes, F., Vandermeulen, D., Suetens, P.: Medical image registration using mutual information. Proc IEEE 91 (2003) 1699-1722
5. Pluim, J.P.W., Maintz, J.A., Viergever, M.A.: Mutual-information-based registration of medical images: a survey. IEEE Transactions on Medical Imaging 22 (2003) 986-1004
6. Likar, B., Pernuš, F.: A hierarchical approach to elastic registration based on mutual information. Image and Vision Computing 19 (2001) 33-44
7. Maes, F., Collignon, A., Vandermeulen, D., Marchai, G., Suetens, P.: Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging 16 (1997) 187-198
8. Pluim, J.P.W., Maintz, J.A., Viergever, M.A.: Mutual information matching and interpolation artefacts. Proc SPIE Medical Imaging 3661 (1999) 56-65
9. Andronache, A., Cattin, P., Székely, G.: Adaptive subdivision for hierarchical nonrigid registration of multi-modal images using mutual information. In Duncan, J.S., Gerig, G., eds.: MICCAI (2). Volume 3750., Springer-Verlag GmbH (2005) 976-983
10. Woods, R.P., Mazziotta, J.C., Cherry, S.R.: MRI-PET registration with automated algorithm. Comput. Assist. Tomogr. 17 (1993) 536-546
11. Nikou, C., Heitz, F., Armspach, J., Namer, I.: Single and multimodal subvoxel registration of dissimilar medical images using robust similarity measures. SPIE Conference on Medical Imaging (1998)
12. Roche, A., Malandain, G., Pennec, X., Ayache, N.: The correlation ratio as a new similarity measure for multimodal image registration. In et al., W.W., ed.: MICCAI. (1998)
13. Guimond, A., Roche, A., Ayache, N., Meunier, J.: Three-dimensional multimodal brain warping using the demons algorithm and adaptive intensity corrections. IEEE Transactions on Medical Imaging 20 (2001) 58-69
14. Thirion, J.: Non-rigid matching using demons. In: Int. Conf. Computer Vision and Pattern Recognition. (1996)
15. van den Elsen, P.A., Pol, E.J.D., Sumanaweera, T.S., Hemler, P.F., Napel, S., Adler, J.R.: Grey value correlation techniques for automatic matching of CT and MR brain and spine images. Visualization in Biomed. Comp. 2359 (1994) 227-237