Robust dynamical model for simultaneous registration and segmentation in a variational framework: A bayesian approach

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 709-716

  Ghosh, Pratim ^a   Sargin, Mehmet Emre ^a   Manjunath, B S ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN FORMULATION; COMPUTATIONALLY EFFICIENT; DYNAMICAL MODEL; ERROR METRICS; F-MEASURE; HAUSDORFF DISTANCE; IMAGE SEQUENCE; MEAN ABSOLUTE DEVIATIONS; NON-LINEAR; REAL IMAGE SEQUENCES; REGION OF INTEREST; STATE OF THE ART; STOCHASTIC EQUATIONS; TRACKED OBJECTS; VARIATIONAL FRAMEWORK;

BAYESIAN NETWORKS; COMPUTER VISION;

IMAGE SEGMENTATION;

EID: 77953181798     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459170     Document Type: Conference Paper

References (21)

1. J. An, Y. Chen, F. Huang, D. Wilson, and E. Geiser. A variational pde based level set method for a simultaneous segmentation and non-rigid registration. Lecture Notes in Computer Science, 3749:286-293, 2005.
2. A. Andreopoulos and J. K. Tsotsosa. Efficient and generalizable statistical models of shape and appearance for analysis of cardiac mri. Medical Image Analysis, 12(3):335-357, June 2008.
3. T. Chan and L. Vese. Active contours without edges. Image Processing, IEEE Transactions on, 10(2):266-277, Feb 2001.
4. G. Christensen, R. Rabbitt, and M. Miller. Deformable templates using large deformation kinematics. Image Processing, IEEE Transactions on, 5(10):1435-1447, Oct 1996.
5. T. Cootes, G. Edwards, C. Taylor, et al. Active appearance models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):681-685, 2001.
6. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham. Active shape models: their training and application. Computer Vision and Image Understanding, 61(1):38-59, Jan 1995.
7. D. Cremers. Dynamical statistical shape priors for level set-based tracking. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 28(8):1262-1273, Aug. 2006.
8. J. Ehrhardt, A. Schmidt-Richberg, and H. Handels. A variational approach for combined segmentation and estimation of respiratory motion in temporal image sequences. Computer Vision, IEEE 11th International Conference on, pages 1-7, Oct. 2007.
9. B.-W. Hong, E. Prados, S. Soatto, and L. Vese. Shape representation based on integral kernels: Application to image matching and segmentation. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, 1:833-840, June 2006.
10. B. Horn and B. Schunck. Determining optical flow. Computer Vision, 17:185-203, 1981.
11. F. Kschischang, B. Frey, and H. Loeliger. Factor graphs and the sum-product algorithm. IEEE Transactions on information theory, 47(2):498-519, 2001.
12. M. Leventon,W. Grimson, and O. Faugeras. Statistical shape influence in geodesic active contours. Biomedical Imaging, 2002. 5th IEEE EMBS International Summer School on, June 2002.
13. S. Mitchell, B. Lelieveldt, R. van der Geest, H. Bosch, J. Reiver, and M. Sonka. Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac mr images. Medical Imaging, IEEE Transactions on, 20(5):415-423, May 2001.
14. K. Pohl, J. Fisher, J. Levitt, M. Shenton, R. Kikinis, W. Grimson, and W. Wells. A unifying approach to registration, segmentation, and intensity correction. Lecture Notes in Computer Science, 3749:310-318, 2005.
15. K. Saddi, C. Chefd'hotel, M. Rousson, and F. Cheriet. Region-based segmentation via non-rigid template matching. Computer Vision, IEEE 11th International Conference on, pages 1-7, Oct. 2007.
16. J. Strikwerda. Finite difference schemes and partial differential equations. Society for Industrial Mathematics, 2004.
17. A. Tsai, J. Yezzi, A., W. Wells, C. Tempany, D. Tucker, A. Fan, W. Grimson, and A. Willsky. A shape-based approach to the segmentation of medical imagery using level sets. Medical Imaging, IEEE Transactions on, 22(2):137-154, Feb. 2003.
18. G. Unal and G. Slabaugh. Coupled pdes for non-rigid registration and segmentation. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, 1:168-175, June 2005.
19. F. Wang and B. Vemuri. Simultaneous registration and segmentation of anatomical structures from brain mri. Lecture Notes in Computer Science, 3749:17, 2005.
20. A. Yezzi, L. Zllei, and T. Kapur. A variational framework for integrating segmentation and registration through active contours. Medical Image Analysis, 7(2):171-185, 2003.
21. Y. Zhu, X. Papademetris, A. Sinusas, and J. Duncan. Segmentation of left ventricle from 3d cardiac mr image sequences using a subject-specific dynamical model. Computer Vision and Pattern Recognition, IEEE Conference on, pages 1-8, June 2008.