Non-rigid image registration using Gaussian mixture models

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

Volumn 7359 LNCS, Issue , 2012, Pages 286-295

  Somayajula, Sangeetha ^a   Joshi, Anand A ^b   Leahy, Richard M ^b  

^a MERCK RESEARCH LABORATORIES   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE ESTIMATION; COMPUTATIONALLY EFFICIENT; DEFORMATION FIELD; DENSITY ESTIMATION; DICE COEFFICIENT; GAUSSIAN MIXTURE MODEL; GENERAL APPROACH; HIGH-DIMENSIONAL; LOCAL OPTIMA; LOG LIKELIHOOD; MUTUAL INFORMATIONS; NON-RIGID; NONRIGID IMAGE REGISTRATION; NONRIGID REGISTRATION; NUMBER OF SAMPLES; PARZEN DENSITY ESTIMATION; REGISTRATION ACCURACY; SEMIPARAMETRIC; SIMILARITY METRICS; SOFT TISSUE; SUM OF SQUARED DIFFERENCES; TARGET IMAGES;

COMMUNICATION CHANNELS (INFORMATION THEORY); ESTIMATION; MAMMALS; OBJECT RECOGNITION; TISSUE;

IMAGE REGISTRATION;

EID: 84864003545     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31340-0_30     Document Type: Conference Paper

References (23)

1. Ashburner, J., Friston, K.: Nonlinear spatial normalization using basis functions. Human Brain Mapping 7(4), 254-266 (1999)
2. Ashburner, J., Friston, K.J.: Unified segmentation. NeuroImage 26(3), 839-851 (2005)
3. Baiker, M., Staring, M., Löwik, C.W.G.M., Reiber, J.H.C., Lelieveldt, B.P.F.: Automated Registration of Whole-Body Follow-Up MicroCT Data of Mice. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part II. LNCS, vol. 6892, pp. 516-523. Springer, Heidelberg (2011)
4. Silverman, B.W.: Density estimation for Statistics and Data analysis. Chapman and Hall (1986)
5. D'Agostino, E., Maes, F., Vandermeulen, D., Suetens, P.: A viscous fluid model for multimodal non-rigid image registration using mutual information. Medical Image Analysis 7(4), 565-575 (2003)
6. Zhang, J., Rangarajan, A.: Bayesian multimodality non-rigid image registration via conditional density estimation. In: Information Proc. in Med. Imaging, pp. 499-511 (2003)
7. Krum,W., Griffin, L.D., Hill, D.L.G.: Non-rigid image registration: Theory and practice. Br. Journ. Radiol. 1(77), S140-S153 (2004)
8. Leventon, M.E., Grimson, W.E.L.: Multi-modal Volume Registration Using Joint Intensity Distributions. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 1057-1066. Springer, Heidelberg (1998)
9. MacLachlan, G., Peel, D.: Finite Mixture Models. Wiley (2000)
10. Kovacevic, N., Hamarneh, G., Henkelman, M.: Anatomically Guided Registration of Whole Body MouseMR Images. In: Ellis, R.E., Peters, T.M. (eds.)MICCAI 2003. LNCS, vol. 2879, pp. 870-877. Springer, Heidelberg (2003)
11. Papademetris, X., Dione, D.P., Dobrucki, L.W., Staib, L.H., Sinusas, A.J.: Articulated Rigid Registration for Serial Lower-Limb Mouse Imaging. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005, Part II. LNCS, vol. 3750, pp. 919-926. Springer, Heidelberg (2005)
12. Pohl, K.M., Fisher, J., Grimson, W.E.L., Kikinis, R., Wells, W.M.: A Bayesian model for joint segmentation and registration. NeuroImage 31(1), 228-239 (2006)
13. Roche, A., Malandain, G., Ayache, N., Prima, S.: Towards a Better Comprehension of Similarity Measures Used in Medical Image Registration. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 555-566. Springer, Heidelberg (1999)
14. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley (2001)
15. Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast mr images. IEEE Trans. Med. Imaging 18(8), 712-721 (1999)
16. Shattuck, D.W., Sandor-Leahy, S.R., Schaper, K.A., Rottenberg, D.A., Leahy, R.M.: Magnetic resonance image tissue classification using a partial volume model. NeuroImage 13(5), 856-876 (2001)
17. Somayajula, S., Joshi, A.A., Leahy, R.M.: Mutual information based non-rigid mouse registration using a scale-space approach. In: 5th IEEE Intl. Symposium on Biomedical Imaging, pp. 1147-1150 (2008)
18. Van de Sompel, D., Brady, M.: Regularising limited view tomography using anatomical reference images and information theoretic similarity metrics. Medical Image Analysis 16(1), 278-300 (2012)
19. Wang, H., Stout, D., Chatziioannou, A.: Estimation of mouse organ locations through registration of a statistical mouse atlas with micro-ct images. IEEE Transactions on Medical Imaging 31(1), 88-102 (2012)
20. Woods, R.P., Grafton, S.T., Watson, J.D.G., Sicotte, N.L., Mazziotta, J.C.: Automated image registration: I. General methods and intrasubject, intramodality validation. Journal of Computed Assisted Tomography 22, 139-152 (1998)
21. Wells, W., Viola, P., Atsumi, H., Nakajima, S., Nakajima, S., Kikinis, R.: Multimodal volume registration by maximization of mutual information. Med. Image Analysis 1(1), 35-51 (1996)
22. Li, X., Peterson, T.E., Gore, J.C., Dawant, B.M.: Automatic Inter-subject Registration of Whole Body Images. In: Pluim, J.P.W., Likar, B., Gerritsen, F.A. (eds.) WBIR 2006. LNCS, vol. 4057, pp. 18-25. Springer, Heidelberg (2006)
23. Zöllei, L., Jenkinson, M., Timoner, S.J., Wells, W.M.: A Marginalized MAP Approach and EM Optimization for Pair-Wise Registration. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol. 4584, pp. 662-674. Springer, Heidelberg (2007)