Statistical significance based graph cut regularization for medical image segmentation

Turkish Journal of Electrical Engineering and Computer Sciences

Volumn 19, Issue 6, 2011, Pages 957-972

  Candemir, Sema ^a   Akgül, Yusuf Sinan ^a  

^a GEBZE TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Graph cut minimization; Markov random fields; Medical image segmentation; Regularization; Statistical significance

Indexed keywords

GRAPH CUT MINIMIZATION; MARKOV RANDOM FIELDS; MEDICAL IMAGE SEGMENTATION; REGULARIZATION; STATISTICAL SIGNIFICANCE;

COMPUTER VISION; GRAPHIC METHODS; MEDICAL IMAGING; PARAMETERIZATION; UNITS OF MEASUREMENT;

IMAGE SEGMENTATION;

EID: 79961075443     PISSN: 13000632     EISSN: 13036203     Source Type: Journal    
DOI: 10.3906/elk-1003-465     Document Type: Article

References (33)

1. L. Lorigo, O. Faugeras, E. Grimson, R. Keriven, R. Kikinis, C. Westin, "Co-dimension 2 geodesic active contours for MRA segmentation", Inf. Process Med Imaging, vol.16, pp.126-139, 1999.
2. S. Osher, N. Paragios, "Geometric level set methods in imaging, vision, and graphics", Springer, 2003.
3. A. Tsai, A. Yezzi, W. Wells, C. Tempany, D. Tucker, A. Fan, E. Grimson, A. Willsky, "A shape based approach to curve evolution for segmentation of medical imagery", IEEE Trans. Med. Imaging, vol.22, pp.137-154, 2003.
4. Y. Boykov, M.P. Jolly, "Interactive organ segmentation using graph cuts", Lecture Notes In Computer Science, Proc. of the Third International Conference on MICCAI, pp. 276-286, 2000.
5. Y. Boykov, M.P. Jolly, "Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images", IEEE Conf. on Computer Vision, vol.1, pp.105-112, 2001. (Pubitemid 32794944)
6. Y. Boykov, G. Funka-Lea, "Graph cuts and efficient N-D image segmentation", Int. J. Computer Vision, vol.70, pp.109-131, 2006. (Pubitemid 44127252)
7. D. Freedman, T. Zhang, "Interactive graph cut based segmentation with shape priors", IEEE Conf. on Computer Vision and Pattern Recognition, vol.1, pp.755-762, 2005. (Pubitemid 43897270)
8. J. Zhanga, Y. Wangb, X. Shia, "An improved graph cut segmentation method for cervical lymph nodes on sonograms and its relationship with nodes shape assessment", Computerized Medical Imaging and Graphics, vol.33, pp.602-607, 2009.
9. J. Hadamard, "Sur les problmes aux drives partielles et leur signification physique", Princeton University Bulletin, 1902.
10. D. Marr, T. Poggio, "Cooperative computation of stereo disparity", Science, pp.209-236, 1976.
11. M. Bertero, T.A. Poggio, V. Torre, "Ill-posed problems in early vision", Proceedings of the IEEE, vol.76, pp.869-889, 1988.
12. J. Marroquin, S. Mitter, T.A. Poggio, "Probabilistic solution of ill-posed problems in computational vision", J. Amer. Stat. Assoc., vol.82, pp.76-89, 1987.
13. J. Besag, "On the statistical analysis of dirty pictures", J. of the Royal Statistical Society B., vol.48, pp.259-302, 1986.
14. N. Metropolis, A.W. Rosenbluth, M.N. Rosenbluth, A.H. Teller, E. Teller, "Equations of state calculations by fast computing machines", J. of Chemical Physics, vol.21, pp.1087-1091, 1953.
15. S. Geman, D. Geman, "Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images", IEEE Trans. Pattern. Anal. Mach. Intell., vol.6, pp.721-741, 1984. (Pubitemid 15453722)
16. S. Kirkpatrick, C.D.J. Gelatt, M.P. Vecchi, "Optimization by simulated annealing", Science, vol.220, pp.671-680, 1983.
17. P. Carnevali, L. Coletti, S. Patarnello, "Image processing by simulated annealing", IBM Journal of Research and Development, vol.29, pp.569-579, 1985.
18. D. M. Greig, B. T. Porteous, A.H. Seheult, "Exact Maximum A Posteriori Estimation for Binary Images", J. Royal Statistical Soc., Series B., vol.51, pp.271-279, 1989.
19. J.M. Hammersley, P. Clifford, "Markov field on finite graphs and lattices", unpublished, 1971.
20. D. Scharstein, R. Szeliski, "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms", IEEE conf. on Computer Vision, vol.47, pp.7-42, 2002. (Pubitemid 34428419)
21. A.N. Tikhonov, V.A. Arsenin, "Solutions of ill-posed problems", Washington, DC: Winston, 1977.
22. K. Krajsek, R. Mester, "Maximum Likelihood Estimator for Choosing the Regularization Parameters in Global Optical Flow Methods", IEEE Conf. on Image Processing, pp.1081-1084, 2006.
23. L. Zhang, S.M. Seitz, "Estimating optimal parameters for MRF stereo from a single image pair", IEEE Trans. Pattern. Anal. Mach. Intell., vol.29, pp.331-342, 2007. (Pubitemid 46420891)
24. B. Peng, O. Veksler, "Parameter selection for graph cut based image segmentation", Proc. of the British Machine Vision Conference, 2008.
25. Y. Boykov, O. Veksler, R. Zabih, "Fast approximate energy minimization via graph cuts", IEEE Trans. Pattern. Anal. Mach. Intell., vol.23, pp.1222-1239, 2001. (Pubitemid 33137959)
26. Y. Boykov, V. Kolmogorov, "Computing geodesics and minimal surfaces via graph cuts", IEEE conf. on Computer Vision, vol.1, pp.26-33, 2003.
27. C. Rother, V. Kolmogorov, A. Blake, "GrabCut -interactive foreground extraction using iterated graph cuts", SIGGRAPH, August, 2004.
28. J.E. Freund, "Mathematical statistics", Prentice Hall. 2007.
29. R.A. Fisher, "The design of experiments", New York: Hafner. 1935.
30. S. Candemir, Y.S. Akgul, "A nonparametric statistical approach for stereo correspondence", IEEE conf. on Computer and Information Sciences, pp.1-6, 2007.
31. http://www.via.cornell.edu/databases/lungdb.html
32. T.F.Chan, L.A.Vese, "Active Contours Without Edges", IEEE Trans. on Image Processing, vol.10, No.2., pp.266-277, 2001. (Pubitemid 32254596)
33. C.Lee, C.Xu, C.Gui, M.D.Fox, "Level Set Evaluation Without RE-initialization: A New Variational Formulation", IEEE Conf. on Computer Vision and Pattern Recognition, vol. 1, pp. 430-436, 2005.