Simultaneous registration of multiple images: Similarity metrics and efficient optimization

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 35, Issue 5, 2013, Pages 1221-1233

  Wachinger, Christian ^a   Navab, Nassir ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

groupwise; multimodal; optimization; Registration; similarity measures; simultaneous

Indexed keywords

GROUPWISE; MULTI-MODAL; REGISTRATION; SIMILARITY MEASURE; SIMULTANEOUS;

ALIGNMENT;

OPTIMIZATION;

ARTICLE; AUTOMATED PATTERN RECOGNITION; ECHOENCEPHALOGRAPHY; FACTUAL DATABASE; FETUS ECHOGRAPHY; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; METHODOLOGY;

DATABASES, FACTUAL; ECHOENCEPHALOGRAPHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; ULTRASONOGRAPHY, PRENATAL;

EID: 84875427633     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2012.196     Document Type: Article

References (46)

1. E.G. Learned-Miller, "Data Driven Image Models through Continuous Joint Alignment," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 2, pp. 236-250, Feb. 2006. (Pubitemid 46395291)
2. G. Huang, V. Jain, and E. Learned-Miller, "Unsupervised Joint Alignment of Complex Images," Proc. IEEE Int'l Conf. Computer Vision, pp. 1-8, 2007.
3. M. Cox, S. Lucey, S. Sridharan, and J. Cohn, "Least Squares Congealing for Unsupervised Alignment of Images," Proc. IEEE Conf. Computer Vision and Pattern Recognition, June 2008.
4. M. Cox, S. Sridharan, S. Lucey, and J. Cohn, "Least-Squares Congealing for Large Numbers of Images," Proc. IEEE Int'l Conf. Computer Vision, pp. 1949-1956, 2009.
5. L. Zö llei, E. Learned-Miller, E. Grimson, and W. Wells, "Efficient Population Registration of 3D Data," Proc. Int'l Conf. Computer Vision for Biomedical Image Applications, 2005.
6. C. Wachinger, W. Wein, and N. Navab, "Three-Dimensional Ultrasound Mosaicing," Proc. Int'l Conf. Medical Image Computing and Computer-Assisted Intervention, Oct. 2007.
7. C. Wachinger and N. Navab, "Structural Image Representation for Image Registration," Proc. IEEE CS Workshop Math. Methods in Biomedical Image Analysis, June 2010.
8. C. Wachinger and N. Navab, "Manifold Learning for Multi-Modal Image Registration," Proc. 11th British Machine Vision Conf., 2010.
9. J. West et al., "Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques," J. Computer Assisted Tomography, vol. 21, no. 4, pp. 554-566, 1997. (Pubitemid 27432693)
10. C. Studholme and V. Cardenas, "A Template Free Approach to Volumetric Spatial Normalization of Brain Anatomy," Pattern Recognition Letters, vol. 25, no. 10, pp. 1191-1202, 2004. (Pubitemid 38763661)
11. T. Cootes, S. Marsland, C. Twining, K. Smith, and C. Taylor, "Groupwise Diffeomorphic Non-Rigid Registration for Automatic Model Building," Proc. European Conf. Computer Vision, 2004.
12. K. Sidorov, S. Richmond, and D. Marshall, "An Efficient Stochastic Approach to Groupwise Non-Rigid Image Registration," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009.
13. M. Yigitsoy, C. Wachinger, and N. Navab, "Temporal Groupwise Registration for Motion Modeling," Proc. Int'l Conf. Information Processing in Medical Imaging, 2011.
14. C. Metz, S. Klein, M. Schaap, T. Van Walsum, and W. Niessen, "Nonrigid Registration of Dynamic Medical Imaging Data Using Nd+t b-Splines and a Groupwise Optimization Approach," Medical Image Analysis, vol. 15, no. 2, pp. 238-249, 2011.
15. B. Lukas and T. Kanade, "An Iterative Image Registration Technique with an Application to Stereo Vision," Proc. Image Understanding Workshop, 1981.
16. B. Horn and B. Schunck, "Determining Optical Flow," Artificial intelligence, vol. 17, nos. 1-3, pp. 185-203, 1981.
17. S. Baker and I. Matthews, "Lucas-Kanade 20 Years On: A Unifying Framework," Int'l J. Computer Vision, vol. 56, no. 3, pp. 221-255, 2004.
18. K. Madsen, H. Nielsen, and O. Tingleff, Methods for Non-Linear Least Squares Problems, second ed. Technical Univ. of Denmark, 2004.
19. S. Benhimane and E. Malis, "Real-Time Image-Based Tracking of Planes Using Efficient Second-Order Minimization," Proc. IEEE/RSJ Int'l Conf. Intelligent Robots and Systems, pp. 943-948, 2004. (Pubitemid 40275719)
20. T. Vercauteren, X. Pennec, E. Malis, A. Perchant, and N. Ayache, "Insight Into Efficient Image Registration Techniques and the Demons Algorithm," Proc. Int'l Conf. Information Processing in Medical Imaging, 2007.
21. R. Stefanescu, X. Pennec, and N. Ayache, "Grid Powered Nonlinear Image Registration with Locally Adaptive Regularization," Medical Image Analysis, vol. 8, no. 3, pp. 325-342, 2004. (Pubitemid 39185915)
22. C. Chefd'hotel, G. Hermosillo, and O. Faugeras, "Flows of Diffeomorphisms for Multimodal Image Registration," Proc. IEEE Int'l Symp. Biomedical Imaging, pp. 753-756, 2002.
23. T. Vercauteren, X. Pennec, A. Perchant, and N. Ayache, "Diffeomorphic Demons: Efficient Non-Parametric Image Registration," NeuroImage, vol. 45, no. 1, pp. 61-72, 2009.
24. C. Wachinger and N. Navab, "Similarity Metrics and Efficient Optimization for Simultaneous Registration," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009.
25. L. Zö llei, "A Unified Information Theoretic Framework for Pairand Group-Wise Registration of Medical Images," PhD thesis, MIT-CSAIL, Massachusetts Inst. of Technology, 2006.
26. P.A. Viola, "Alignment by Maximization of Mutual Information," PhD thesis, Massachusetts Inst. of Technology, 1995.
27. A. Roche, G. Malandain, and N. Ayache, "Unifying Maximum Likelihood Approaches in Medical Image Registration," Int'l J. Imaging Systems and Technology, special issue on 3D imaging, vol. 11, no. 1, pp. 71-80, 2000.
28. C. Wachinger and N. Navab, "A Contextual Maximum Likelihood Framework for Modeling Image Registration," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2012.
29. S. Li, Markov Random Field Modeling in Image Analysis. Springer-Verlag, 2009.
30. C. Wachinger, "Three-Dimensional Ultrasound Mosaicing," master's thesis, Technische Univ. Mü nchen, Mar. 2007.
31. C.M. Bishop, Pattern Recognition and Machine Learning. Springer-Verlag, 2006.
32. P. Lee and J. Moore, "Gauss-Newton-on-Manifold for Pose Estimation," J. Industrial and Management Optimization, vol. 1, no. 4, pp. 565-587, 2005.
33. R. Mahony and J. Manton, "The Geometry of the Newton Method on Non-Compact Lie Groups," J. Global Optimization, vol. 23, no. 3, pp. 309-327, 2002.
34. M. Zefran, V. Kumar, and C. Croke, "On the Generation of Smooth Three-Dimensional Rigid Body Motions," IEEE Trans. Robotics and Automation, vol. 14, no. 4, pp. 576-589, Aug. 1998. (Pubitemid 128743535)
35. R.M. Murray, Z. Li, and S.S. Sastry, A Mathematical Introduction to Robotic Manipulation. CRC Press, 1994.
36. E. Malis, "Méthodologies d'Estimation et de Commande à Partir d'un Système de Vision," habilitation, Nice-Sophia Antipolis, 2008.
37. S. Benhimane, "Vers une Approche Unifiee pour le Suivi Temps-Reel et l'Asservissement Visuel," Docteur en Sciences-Specialite: Informatique Temps-Reel, Automatique et Robotique, Ecole Nationale Superieure des Mines de Paris, 2006.
38. G. Hermosillo, C. Chefd'Hotel, and O. Faugeras, "Variational Methods for Multimodal Image Matching," Int'l J. Computer Vision, vol. 50, no. 3, pp. 329-343, 2002. (Pubitemid 35377419)
39. W. Wells, P. Viola, H. Atsumi, S. Nakajima, and R. Kikinis, "Multi-Modal Volume Registration by Maximization of Mutual Information," Medical Image Analysis, vol. 1, pp. 35-51, 1996. (Pubitemid 126421955)
40. E. D'Agostino, F. Maes, D. Vandermeulen, and P. Suetens, "A Viscous Fluid Model for Multimodal Non-Rigid Image Registration Using Mutual Information," Medical Image Analysis, vol. 7, no. 4, pp. 565-575, 2003. (Pubitemid 37327992)
41. J.P.W. Pluim, J.B.A. Maintz, and M.A. Viergever, "Mutual Information Based Registration of Medical Images: A Survey," IEEE Trans. Medical Imaging, vol. 22, no. 8, pp. 986-1004, Aug. 2003.
42. E. Parzen, "On Estimation of a Probability Density Function and Mode," The Ann. of Math. Statistics, vol. 33, no. 3, pp. 1065-1076, 1962.
43. B. Turlach, "Bandwidth Selection in Kernel Density Estimation: A Review," CORE and Institut de Statistique, vol. 19, no. 4, pp. 1-33, 1993.
44. P. Thevenaz and M. Unser, "Optimization of Mutual Information for Multiresolution Image Registration," IEEE Trans. Image Processing, vol. 9, no. 12, pp. 2083-2099, Dec. 2000.
45. G. Panin and A. Knoll, "Mutual Information-Based 3D Object Tracking," Int'l J. Computer Vision, vol. 78, no. 1, pp. 107-118, 2008. (Pubitemid 351354427)
46. A. Dame and E. Marchand, "Accurate Real-Time Tracking Using Mutual Information," Proc. IEEE Int'l Symp. Mixed and Augmented Reality, pp. 47-56, Oct. 2010.