Local weak form geometric active contours for medical image segmentation

2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

Volumn 1, Issue , 2004, Pages 189-192

  Liu, H F ^a   Ho, H P ^a   Shi, P C ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

GEOMETRY; IMAGE SEGMENTATION; INTEGRATION; MATHEMATICAL MODELS; PARTIAL DIFFERENTIAL EQUATIONS; SET THEORY; TOPOLOGY;

ACTIVE CONTOURS; LEVEL SET METHOD; LOCAL WEAK FORM; MEDICAL IMAGE SEGMENTATION;

MEDICAL IMAGING;

EID: 17144412206     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. G. Aubert and L. Blanc-Feraud. Some remarks on the equivalence between 2d and 3d classical snakes and geodesic active contours. International Journal of Computer Vision, 34(1):19-28, September 1999.
2. V. Caselles, R. Kimmel, and G. Sapiro. Geodesic active contours. International Journal of Computer Vision, 22(1):61-79, 1997.
3. T.J.R. Hughes, L.P. Franca, and G.M. Hulbert. A new finite element formulation for computational fluid dynamics: The galerkin least-squares method for advective-diffuse equations. Computer Methods in Applied Mechanics and Engineering, 73:173-189, 1989.
4. M. Kass, A. Witkin, and D. Terzopoulos. SNAKES: Active contour models. International Journal of Computer Vision, 1:321-332, January 1988.
5. P. Lancaster and K. Salkauskas. Curve and Surface Fitting. Academic Press, London, 1986.
6. R. Malladi, J.A. Sethian, and B.C. Vemuri. Shape modeling with front propagation: A level set approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(2): 158-175, 1995.
7. T. McInerney and D. Terzopoulos. Topologically adaptable snakes. In International Conference on Computer Vision, pages 840-845, 1995.
8. J.A. Sethian. Level Set Methods and Fast Matching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision and Material Science. Cambridge Univ. Press, London, 1999.
9. K. Siddiqi, Y. Lauziere, A. Tannenbaum, and S. Zucker. Area and length-minimizing flows for shape segmentation. IEEE Transactions on Image Processing, 7:433-443, 1998.
10. C. Xu and J. Prince. Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing, 7(3):359-369, 1998.
11. C. Xu, A. Yezzi, and J.L. Prince. A summary of geometric level-set analogues for a general class of parametric active contour and surface models. In IEEE-VLSM, pages 104-111, 2001.
12. A. Yezzi, S. Kichenassamy, A. Kumar, P. Olver, and A. Tannenbaum. A geometric snake model for segmentation of medical imagery. IEEE Transactions on Medical Imaging, 16(2):199-209, 1997.