Actin filament segmentation using dynamic programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6801 LNCS, Issue , 2011, Pages 411-423

  Li, Hongsheng ^a   Shen, Tian ^a   Huang, Xiaolei ^a  

^a Lehigh University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIN FILAMENT; CANDIDATE SOLUTION; CHAIN MODELS; DYNAMIC PROGRAMMING METHODS; IMAGE SEQUENCE; NOVEL ALGORITHM;

ALGORITHMS; DATA PROCESSING; IMAGE SEGMENTATION; MEDICAL IMAGING; PROTEINS;

DYNAMIC PROGRAMMING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FLUORESCENCE MICROSCOPY; IMAGE ENHANCEMENT; METHODOLOGY; MICROFILAMENT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; ULTRASTRUCTURE;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROFILAMENTS; MICROSCOPY, FLUORESCENCE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 80052334301     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_34     Document Type: Conference Paper

References (14)

1. Amini, A.A., Weymouth, T.E., Jain, R.C.: Using dynamic programming for solving variational problems in vision. IEEE TPAMI 12, 855-867 (1990)
2. Cohen, L.D., Kimmel, R.: Global minimum for active contour models: A minimal path approach. IJCV 24, 57-78 (1997)
3. Felzenszwalb, F., Huttenlocher, P., Efficient, D.P.: matching of pictorial structures. In: Proc. CVPR, vol. 2, pp. 66-73 (2000)
4. Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130-137. Springer, Heidelberg (1998)
5. Fujiwara, I., Takahashi, S., Tadakuma, H., Funatsu, T., Ishiwata, S.: Microscopic analysis of polymerization dynamics with individual actin filaments. Nat. Cell Biol. 4, 666-673 (2002)
6. Fujiwara, I., Vavylonis, D., Pollard, T.D.: Polymerization kinetics of ADP- and ADP-Pi-actin determined by fluorescence microscopy. Proc. Natl. Acad. Sci. USA 104, 8827-8832 (2007)
7. Hadjidemetriou, S., Toomre, D., Duncan, J.: Motion tracking of the outer tips of microtubules. Medical Image Analysis 12, 689-702 (2008)
8. Kong, K., Marcus, A., Giannakakou, P., Wang, M.: Using particle filter to track and model microtubule dynamics. In: Proc. ICIP, vol. 5, pp. 517-520 (2007)
9. Li, H., Shen, T., Smith, M., Fujiwara, I., Vavylonis, D., Huang, X.: Automated actin filament segmentation, tracking and tip elongation measurements based on open active contour models. In: Proc. ISBI (2009)
10. Li, H., Shen, T., Vavylonis, D., Huang, X.: Actin filament tracking based on particle filters and stretching open active contour models. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 673-681. Springer, Heidelberg (2009)
11. Li, H., Shen, T., Vavylonis, D., Huang, X.: Actin filament segmentation using spatiotemporal active-surface and active-contour models. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6361, pp. 86-94. Springer, Heidelberg (2010)
12. Saban, M., Altinok, A., Peck, A., Kenney, C., Feinstein, S., Wilson, L., Rose, K., Manjunath, B.: Automated tracking and modeling of microtubule dynamics. In: Proc. ISBI, vol. 1, pp. 1032-1035 (2006)
13. Sargin, M.E., Altinok, A., Kiris, E., Feinstein, S.C., Wilson, L., Rose, K., Manjunath, B.S.: Tracing microtubules in live cell images. In: Proc. ISBI (2007)
14. Smal, I., Draegestein, K., Galjart, N., Niessen, W., Meijering, E.: Particle filtering for multiple object tracking in dynamic fluorescence microscopy images: Application to microtubule growth analysis. IEEE TMI 27, 789-804 (2008)