Image analysis – Image transformation or preprocessing – Changing the image coordinates
Reexamination Certificate
2005-10-26
2010-10-26
Bella, Matthew C (Department: 2624)
Image analysis
Image transformation or preprocessing
Changing the image coordinates
C382S128000, C382S155000, C382S159000, C382S160000
Reexamination Certificate
active
07822291
ABSTRACT:
A computer-implemented method for non-rigid multi-modal registration, includes providing trained data corresponding to previously registered images captured by different modalities, receiving two or more images captured by the different modalities, and registering the two or more images according to context information determined based on the trained data.
REFERENCES:
patent: 5974165 (1999-10-01), Giger et al.
patent: 6266453 (2001-07-01), Hibbard et al.
patent: 7263243 (2007-08-01), Chen et al.
patent: 7280710 (2007-10-01), Castro-Pareja et al.
patent: 7450780 (2008-11-01), Roche et al.
patent: 2002/0173723 (2002-11-01), Lewis et al.
patent: 2006/0029291 (2006-02-01), Sun et al.
Michael E. Leventon, et al., “Mulit-Modal Volume Registration using Joint Intensity Distributions,” Artificial Intelligence Labroratory, vol. 1496, 1998, pp. 1057-1066.
Christophe Chef'd Hotel, et al., “A Variational Approach to Multi-Modal Image Matching,” IEEE Workshop on Variational and Level Set Methods in Computer Vision, 2001, pp. 21-28.
Albert C.S. Chung, et al. “Multi-Modal Image Registration by Minimising Kullback-Leibler Distance,” Medical Image Computing and Computer-Assisted Intervention—MICCAI 2002, pp. 525-532.
Gerardo Hermosillo, Christophe Chefd'Hotel and Olivier Faugeras, “Variational Methods for Multimodal Image Matching” International Journal of Computer Vision, vol. 50, No. 3, Dec. 2002, pp. 329-343.
Nicolae Duta and Milan Sonka, “Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model”, IEEE Transactions on Medical Imaging, vol. 17, No. 6, Dec. 1998, pp. 1049-1062.
D. Rueckert, M. J. Clarkson, D. L. G. Hill and D. J. Hawkes, “Non-Rigid Registration using Higher-Order Mutual Information” Proceedings of the SPIE Conference on Medical Imaging, vol. 3979, 2000, pp. 438-447.
William M. Wells, III, et al. “Multi-Modal Volume Registration by Maximization of Mutual Information.”
Michael E. Leventon, et al., “Multi-Modal Volume Registration Using Joint Intensity Distributions,”Artificial Intelligence Labroratory, pp. 1-10.
Josien P. W. Pluim, et al., “Mutual Information Base Dregistration of Medical Images: A Survey.”IEEE Transactions on Medical Imaging, Vo., XX, No. Y. Month 2003, pp. 1-21.
Peter Lorenzen, et al., “Mutli-Class Posterior Atlas Formation Via Unbiased Kullback-Leibler Template Estimation,”MICCAI 2004, LNCS 3216, pp. 95-102, 2004.
Albert C.S. Chung, et al. “Multi-Modal Image Registration by Minimising Kullback-Leibler Distance,”MICCAI 2002, LNCS 2489, pp. 525-532, 2002.
William M. Wells, III, et al. “Multi-Modal Volume Registration by Maximation of Mutual Information.”
Rui Gan, et al., “Multiresolution Image Registration Based on Kullbank-Leibler Distance,”MICCAI 2004, LNCS 3216, pp. 599-606, 2004.
Lilla Zöllei, et al., “A Unified Statistical and Information Theoretic Framework for Multi-Modal Image Registration.”
Gerardo Hermosillo Valadez, “Variational Methods of Multimodal Image Matching,” pp. 1-198; 2002.
Chefd'Hotel, Christophe; Hermosillo, Gerardo; Faugeras, Oliver: A Variational Approach to Multi-Modal image Matching, IEEE Workshop on Variational and Level Set Methods in Computer Vision, 2001, ISBN: 0-7695-1278-X, S. 21-28, DOI: 10.1109/VLSM.2001.938877.
Wyatt, Paul P.; Noble, J. Alison: MAP MRF joint segmentation and registration of medical images, Medical Image Analysis 7 (2003) 539-552, ScienceDirect [online]. DOI: 10.1016/S1361-8415(03)00067-7.
Guetter Christoph
Hornegger Joachim
Sauer Frank
Xu Chenyang
Bella Matthew C
F. Chau & Associates LLC
Friedrich-Alexander-Universitat Erlangen-Nurnberg
Paschburg Donald B.
Rush Eric
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