Vessel boundary extraction based on a global and local deformable physical model with variable stiffness

Magnetic Resonance Imaging

Volumn 16, Issue 8, 1998, Pages 943-951

  Hu, Ying Lin ^a,b   Rogers, W J ^a   Coast, D A ^a   Kramer, C M ^a   Reichek, N ^a  

^a DREXEL UNIVERSITY COLLEGE OF MEDICINE   (United States)

^b ALLEGHENY GENERAL HOSPITAL   (United States)

Author keywords

Active contour; Edge detection; Global and local deformable model; MR medical image processing; Variable stiffness deformable contour

Indexed keywords

ALGORITHM; AORTA FLOW; ARTICLE; CINERADIOGRAPHY; CONTROLLED STUDY; DEFORMITY; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSICAL MODEL; PRIORITY JOURNAL; RIGIDITY;

ALGORITHMS; AORTA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; MODELS, CARDIOVASCULAR; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0031739844     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0730-725X(98)00105-2     Document Type: Article

References (14)

1. Kass, M.; Witkin, A.; Terzopoulos, D. Snakes. Active contour models. Int. J. Comput. Vision 1:321-331; 1987.
2. Cohen, L.D. On active contour models and balloons. Comput Vision, Graphics, and Image Processing: Image Understanding. 53:211-218; 1991.
3. Cohen, L.D.; Cohen, I. Finite element methods for active contour models and balloons for 2-D and 3-D images. IEEE Trans. PAMI 15:1131-1147; 1993.
4. Leymarie, F.; Levine, M.D. Tracking deformable objects in the plane using an active contour model. IEEE Trans. PAMI 15:617-634; 1993.
5. Williams, D.J.; Shah, M. A fast algorithm for active contours. CVGIP: Image Understanding. 55:14-26; 1990.
6. Geiger, D.; Gupta A.; Vlontzos, J. Dynamic programming for detecting, tracking and matching deformable contours. IEEE Trans. PAMI 17:294-302; 1995.
7. Kozerl, S.; Botnar, R.; Scheidegger, M.B.; Boseiger, P. Vessel boundary extraction using an active contour model in cine phase contrast flow measurements. Proceedings of International Society for Magnetic Resonance in Medicine Fourth Scientific Meeting, Vol. 3. New York: ISMRM; 1996: 1608.
8. Solling, T, Vestergaard, K.; Stodkilde-Jorgensen, H. A general semi-automated segmentation method of areas with incomplete boundary in MR images with use of energy-minimizing curves: Snakes. Proceedings of International Society for Magnetic Resonance in Medicine Fourth Scientific Meeting, Vol. 3. New York: ISMRM; 1996: 1639.
9. Davatrzikos, C.A.; Prince, J.L. An active contour model for mapping the cortex. IEEE Trans. Med. Imaging 14:65-80; 1995.
10. Matsumoto, S.; Asato, R.; Okada, T.; Konishi, J. Intracranial contour extraction with active contour models. J. Magn. Reson. Imaging 7:353-360; 1997.
11. Metaxas, D.; Terzopoulos, D. Shape, and nonrigid motion estimation through physics-based synthesis. IEEE Trans. PAMI 15:580-591; 1993.
12. Terzopoulos, D.; Metaxas, D. Dynamic 3D modules with local and global deformations: deformable superquadrics. IEEE Trans. PAMI 13:703-714; 1991.
13. Mather, R.; Shinha, S. Segmentation of short axis cardiac MRI by combining a radial search with active contours. Proceedings of International Society for Magnetic Resonance in Medicine Fifth Scientific Meeting and Exhibition, Vancouver, Canada: ISMRM; 1997: 45.
14. Mather, R.; Shinha, S. A comparison of dark blood versus bright blood cardiac MRI for gradient based segmentation. Proceedings of the International Society for Magnetic Resonance in Medicine Fifth Scientific Meeting and Exhibition, Vancouver, Canada: ISMRM; 1997: 853.