A statistical deformation prior for non-rigid image and shape registration

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Albrecht, Thomas ^a   Lüthi, Marcel ^a   Vetter, Thomas ^a  

^a UNIVERSITY OF BASEL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; DEFORMATION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING TECHNIQUES; MATHEMATICAL MODELS; MEDICAL PROBLEMS; PATTERN RECOGNITION; SET THEORY; STATISTICS;

HIGH-QUALITY; LEVEL SET FUNCTIONS; MEDICAL IMAGE ANALYSIS; MEDICAL IMAGING; NOISY DATA; NON-RIGID REGISTRATION; PRIOR KNOWLEDGE; REGISTRATION ALGORITHMS; SHAPE REGISTRATION; STATISTICAL DEFORMATION MODEL; STATISTICAL MODELLING; TIKHONOV REGULARIZATION; TO MANY;

STATISTICAL METHODS;

EID: 51949091998     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587394     Document Type: Conference Paper

References (22)

1. M. A. Audette, F. P. Ferrie, and T. M. Peters. An algorithmic overview of surface registration techniques for medical imaging. Medical Image Analysis, 4:201-217, 2000.
2. C. Bishop. Pattern recognition and machine learning. Springer, 2006.
3. V. Blanz and T. Vetter. A morphable model for the synthesis of 3d faces. In SIGGRAPH '99, pages 187-194. 1999.
4. T. Cootes, C. Taylor, D. Cooper, J. Graham, et al. Active shape models-their training and application. Computer Vision and Image Understanding, 61(1):38-59, 1995.
5. D. Cremers, M. Rousson, and R. Deriche. A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape. International Journal of Computer Vision, 72(2):195-215, 2007.
6. D. Cremers, F. Tischhäuser, J. Weickert, and C. Schnörr. Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional. International Journal of Computer Vision, 50(3):295-313, 2002.
7. A. Dedner, M. Lüthi, T. Albrecht, and T. Vetter. Curvature guided level set registration using adaptive finite elements. In Pattern Recognition, pages 527-536, 2007.
8. J. W. Demmel. Applied Numerical Linear Algebra, chapter 3, pages 109-119. SIAM, 1997.
9. J. Gee and R. Bajcsy. Elastic matching: Continuum mechanical and probabilistic analysis. Brain Warping, 1998.
10. B. Horn and B. Schunck. Determining Optical Flow. Artificial Intelligence, 17(1-3):185-203, 1981.
11. L. Ibanez, W. Schroeder, L. Ng, and J. Cates. The ITK Software Guide. Kitware, Inc., 2005.
12. M. Lüthi, T. Albrecht, and T. Vetter. Curvature guided surface registration using level sets. In Proceedings of CARS, pages 126-128, 2007.
13. J. Modersitzki. Numerical Methods for Image Registration. Oxford Science Publications, 2004.
14. N. Paragios, M. Rousson, and V. Ramesh. Non-rigid registration using distance functions. Computer Vision and Image Understanding, 89(2-3):142-165, 2003.
15. D. Rueckert, A. Frangi, and J. Schnabel. Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration. Medical Imaging, IEEE Transactions on, 22(8):1014-1025, 2003.
16. J. Schäfer and K. Strimmer. A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics. Statistical Applications in Genetics and Molecular Biology, 4(1):32, 2005.
17. J.-P. Thirion. Image matching as a diffusion process: an analogy with maxwell's demons. Medical Image Analysis, 2(3):243-260, 1998.
18. A. N. Tikhonov and V. Y. Arsenin. Solutions of ill-posed problems. John Wiley & Sons, 1977.
19. T. Vetter and T. Poggio. Linear object classes and image synthesis from a single example image. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):733-742, 1997.
20. Y. Wang and L. Staib. Physical model-based non-rigid registration incorporating statistical shape information. Medical Image Analysis, 4(1):7-20, 2000.
21. Z. Xue, D. Shen, and C. Davatzikos. Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping. Medical Image Analysis, 10(5):740-751, 2006.
22. B. Zitova and J. Flusser. Image registration methods: a survey. Image and Vision Computing, 21(11):977-1000, October 2003.