Contour Extraction from Cardiac MRI Studies Using Snakes

IEEE Transactions on Medical Imaging

Volumn 14, Issue 2, 1995, Pages 328-338

  Ranganath, Surendra ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFACTS; CONTOUR CONNECTIVITY; CONTOUR EXTRACTION; CONTOUR PROPAGATION METHOD; SNAKES;

ALGORITHMS; CARDIOVASCULAR SYSTEM; DATA STRUCTURES; FEATURE EXTRACTION; MAGNETIC RESONANCE IMAGING; RELIABILITY;

MEDICAL IMAGING;

EID: 0029325084     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/42.387714     Document Type: Article

References (20)

1. J. W. Klinger et al., “Segmentation of echocardiographic images using mathematical morphology,” IEEE Trans. Biomed. Eng., vol. 35, no. 11, pp. 925–934, Nov. 1988.
2. C. H. Chu et al., “Detecting left ventricular endocardial and epicardial boundaries by digital two dimensional echocardiography,” IEEE Trans. Med. Imag., vol. 7, no. 2, pp. 81–90, June 1988.
3. N. Friedland and D. Adam, “Automatic ventricular cavity boundary detection from sequential ultrasound imaging using simulated annealing,” IEEE Trans. Med. Imag., vol. 8, no. 4, pp. 344–353, Dec. 1989.
4. P. Lilly et al., “Automatic contour definition of left ventriculograms by image evidence and multiple template based models,” IEEE Trans. Med. Imag., vol. 8, no. 2, pp. 173–185, June 1989.
5. A. Kehtarnavaz et al., “A novel surface reconstruction and display method for cardiac PET imaging,” IEEE Trans. Med. Imag., vol. MI-3, no. 3, pp. 108–115, Sept. 1984.
6. S. R. Fleagle et al., “Automated identification of left ventricular borders from spin echo magnetic resonance images,” Investigative Radiol., vol. 26, no. 4, pp. 295–303, Apr. 1991.
7. D. Y. Suh et al., “Automatic boundary detection on cardiac magnetic magnetic resonance image sequences for four dimensional visualization of the left ventricle,” in Proc. 1st Conf. Visualization Biomed. Comput., Atlanta, pp. 149–156, May 1990.
8. L. H. Staib and J. S. Duncan, “Boundary finding with parametrically deformable models,” IEEE Trans. Pattern Anal. Machine Intell., vol. 14, no. 11, pp. 1061–1075, Nov. 1992.
9. C. Nastar and N. Ayache, “Fast segmentation, tracking, and analysis of deformable objects,” in Proc. IEEE 4th Int. Conf. Comput. Vision, Berlin, pp. 275–279, 1993.
10. M. Kass et al., “Snakes: Active contour models,” Int. J. Comput. Vision, pp. 321–331, 1988.
11. R. Courant and D. Hilbert, Methods of Mathematical Physics. New York: Interscience, 1955.
12. D. Terzopoulos, “Matching deformable models to images: Direct and iterative solutions,” in Topical Mtg. Machine Vision, Tech. Dig. Ser., Opt. Soc. of America, vol. 12, pp. 160–167, 1987.
13. A. Benson and D. J. Evans, “A normalized algorithm for the solution of positive definite symmetric quindiagonal systems of linear equations,” ACM Trans. Math. Software, vol. 3, no. 1, pp. 96–103, Mar. 1977.
14. A. Amini et al., “Using dynamic programming for minimizing the energy of active contours in the presence of hard constraints,” in 2nd Int. Conf. Comput. Vision, Tampa, FL, pp. 95–99, Dec. 1988.
15. F. Leymarie, “Tracking and describing deformable objects using active contour models,” McGill Univ., Tech. Rep. TR-CIM-90-9, Feb. 1990.
16. S. Ranganath, “Analysis of the effects of snake parameters on contour extraction,” in Proc. 2nd Int. Conf. Automation, Robotics, Comput. Vision, Singapore, pp. CV4.5.1–CV4.5.5, Sept. 1992.
17. S. Ranganath, “Contour extraction using snakes: An application to cardiac MRI,” Philips Labs., Briarcliff Manor, NY, Tech. Rep. TR-91-043, Dec. 1991.
18. J. Canny, “A computational approach to edge detection,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-8, no. 6, pp. 679–698, 1986.
19. L. D. Cohen, “On active contour models and balloons,” CVGIP: Image Understanding, vol. 53, no. 2, pp. 211–218, Mar. 1991.
20. G. B. Cranney et al., “Left ventricular volume measurement using cardiac axis nuclear magnetic resonance imaging,” Circ., vol. 82, no. 1, pp. 154–163, July 1990.