Detection of rolling leukocytes by marked point processes

Journal of Electronic Imaging

Volumn 16, Issue 3, 2007, Pages

  Dong, Gang ^a   Acton, Scott T ^a  

^a University of Virginia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INTRAVITAL MICROSCOPY IMAGES; MARKED POINT PROCESS (MPP); MAXIMUM A POSTERIORI (MAP) ESTIMATION; ROLLING LEUKOCYTES;

ALGORITHMS; IMAGE ANALYSIS; MARKOV PROCESSES; MONTE CARLO METHODS;

CELLS;

EID: 36048968604     PISSN: 10179909     EISSN: 1560229X     Source Type: Journal    
DOI: 10.1117/1.2774829     Document Type: Article

References (38)

1. E. R. Damiano, J. Westheider, A. Tozeren, and K. Ley, " Variation in the velocity, deformation, and adhesion energy density of leukocytes rolling within venules., " Circ. Res. 79, 1122-1130 (1996).
2. K. Ley, " Leukocyte recruitment as seen by intravital microscopy., " in Physiology of Inflammation, Oxford University Press, New York, pp. 303-337 (2001).
3. N. Ray and S. T. Acton, " Motion gradient vector flow: an external force for tracking rolling leukocytes with shape and size constrained active contours., " IEEE Trans. Med. Imaging 23, 1466-1478 (2004).
4. N. Ray, S. T. Acton, and K. Ley, " Tracking leukocytes in vivo with shape and size constrained active contours., " IEEE Trans. Med. Imaging 21, 1222-1235 (2002).
5. J. J. Capowski, Computer Techniques in Neuroanatomy, Plenum Press, New York (1989).
6. E. M. Glaser and N. T. McMullen, " Semiautomatic microscopy as a tool for cytologists., " Anal Quant Cytol. Histol. 8, 116-127 (1986).
7. W. Rasband, NIH Image 1.59 Manual, National Institutes of Health, Bethesda, MD (1995).
8. S. Krishnamachari and R. Chellappa, " Delineating buildings by grouping lines with MRFs., " IEEE Trans. Image Process. 5, 164-168 (1996).
9. P. Carbonetto, N. de Freitas, and K. Barnard, " A statistical model for general contextual object recognition., " Eighth European Conf. on Comp. Vision (2004).
10. R. B. Irvin and D. M. Mckeown, " Method for exploiting the relationship between buildings and their shadows in aerial imagery., " IEEE Trans. Syst. Man Cybern. 19, 1564-1575 (1989).
11. H. Rue and M. A. Hurn, " Bayesian object identification., " Biometrika 86, 649-660 (1999).
12. X. Descombes, F. Kruggel, G. Wollny, and H. J. Gertz, " An object based approach for detecting small brain lesions: application to Virchow-Robin spaces., " IEEE Trans. Med. Imaging 23, 246-255 (2004).
13. R. Stoica, X. Descombes, and J. Zerubia, " A Gibbs point process for road extraction in remotely sensed images., " Int. J. Comput. Vis. 57, 121-136 (2004).
14. S. Geman and D. Geman, " Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images., " IEEE Trans. Pattern Anal. Mach. Intell. 6, 721-741 (1984).
15. J. W. Modestino and J. Zhang, " A Markov random field model-based approached to image interpretation., " IEEE Trans. Pattern Anal. Mach. Intell. 14, 606-615 (1992).
16. N. A. Cressie, Statistics for Spatial Data, Wiley, New York (1991).
17. B. D. Ripley and F. P. Kelly, " Markov point processes., " J. Lond. Math. Soc. 15, 188-192 (1977).
18. D. Stoyan, W. Kendall, and J. Mecke, Stochastic Geometry and its Applications, Wiley, New York (1995).
19. E. J. Kunkel, J. E. Chomas, and K. Ley, " Role of primary and secondary capture for leukocyte accumulation in vivo., " Circ. Res. 82, 30-38 (1998).
20. A. P. Goobic, J. Tang, and S. T. Acton, " Image stabilization and registration for tracking cells in the microvasculature., " IEEE Trans. Biomed. Eng. 52, 287-299 (2005).
21. G. Dong, N. Ray, and S. T. Acton, " Intravital leukocyte detection using the gradient inverse coefficient of variation., " IEEE Trans. Med. Imaging 24, 910-924 (2005).
22. B. D. Ripley, " The second-order analysis of stationary point processes., " J. Appl. Probab. 13, 255-266 (1976).
23. C. J. Geyer, " Likelihood inference for spatial point processes., " in Stochastic Geometry, Likelihood, and Computation, London, Chapman & Hall, pp. 79-140 (1999).
24. A. Spies and G. Healey, " An analytical and experimental study of the performance of Markov random fields applied to textured images using small samples., " IEEE Trans. Image Process. 5, 447-458 (1996).
25. P. J. Diggle, Statistical Analysis of Spatial Point Patterns, Academic Press, New York (1983).
26. J. Besag, " Contribution to the discussion of Dr Ripley's paper., " J. R. Stat. Soc. 39, 193-195, (1977).
27. B. D. Ripley, Statistical Inference for Spatial Process, Cambridge University Press, Cambridge (1988).
28. P. J. Green, " Reversible jump Markov chain Monte Carlo computation and Bayesian model determination., " Biometrika 82, 711-732 (1995).
29. W. Hastings, " Monte Carlo sampling methods using Markov chains and their application., " Biometrika 57, 97-109 (1970).
30. L. Tierney, " Markov chains for exploring posterior distributions., " Ann. Stat. 22, 1701-1786 (1994).
31. A. Gelman and D. B. Rubin, " Inference from iterative simulation using multiple sequences (with discussion)., " Stat. Sci. 7, 457-511 (1992).
32. W. R. Gilks and G. O. Roberts, " Strategies for improving MCMC., " in Markov Chain Monte Carlo in Practice, Chapman & Hall, London, pp. 89-110 (1996).
33. D. P. Mukherjee, N. Ray, and S. T. Acton, " Level set analysis for leukocyte detection and tracking., " IEEE Trans. Image Process. 13, 562-572 (2004).
34. F. Chabat, X. Hu, D. M. Hansell, and G. Yang, " ERS transform for the automated detection of bronchial abnormalities on CT of the lungs., " IEEE Trans. Med. Imaging 20, 942-952 (2001).
35. N. Theera-Umpon and P. D. Gader, " System-level training of neural networks for counting white blood cells., " IEEE Trans. Syst. Man Cybern. 32, 48-53 (2002).
36. J. M. Prewitt and M. L. Mendelsohn, " The analysis of cell images., " Ann. N.Y. Acad. Sci. 128, 1035-1053 (1966).
37. J. Gielis, " A generic geometric transformation that unifies a wide range of natural and abstract shapes., " Am. J. Bot. 90, 333-338 (2003).
38. P. J. Verveer, M. J. Gemkow, and T. M. Jovin, " A comparison of image restoration approaches applied to three-dimensional confocal and wide-field fluorescence microscopy., " J. Microsc. 193, 50-61 (1999).