Tracking the left ventricle in echocardiographic images by learning heart dynamics

IEEE Transactions on Medical Imaging

Volumn 18, Issue 3, 1999, Pages 282-290

  Malassiotis, Sotiris ^a   Strintzis, Michael Gerassimos ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CARDIOVASCULAR SYSTEM; ECHOCARDIOGRAPHY; EDGE DETECTION; IMAGE SEGMENTATION; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PHYSIOLOGICAL MODELS;

EPICARDIAL BOUNDARY IDENTIFICATION; HEART VENTRICLE;

MEDICAL IMAGING;

ADULT; ALGORITHM; ARTICLE; ECHOCARDIOGRAPHY; ECHOGRAPHY; HEART LEFT VENTRICLE FUNCTION; HEART VENTRICLE; HUMAN; IMAGE PROCESSING; MALE; METHODOLOGY; PHYSIOLOGY; REPRODUCIBILITY;

ADULT; ALGORITHMS; ECHOCARDIOGRAPHY; HEART VENTRICLES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; REPRODUCIBILITY OF RESULTS; VENTRICULAR FUNCTION, LEFT;

EID: 0032587720     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.764905     Document Type: Article

References (26)

1. J. U. Quistggard Signal acquisition and processing in medical diagnostic ultrasound," IEEE Signal Processing Mag., Jan. 1997.
2. P. Detmer, G. Bashein, and R. Martin Matched filter identification of left-ventricular endocardial borders in transesophagical echocardiograms," IEEE Trans. Med. Imag., vol. 9, pp. 396-404, Dec. 1990.
3. N. Friedland and D. Adam Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing," IEEE Trans. Med. Imag., vol. 8, pp. 344-353, Dec. 1989.
4. D. Wilson and E. Geiser Automatic center point determination in two-dimensional short axis echocardiograms," Pattern Recognit., vol. 25, no. 9, pp. 893-900, 1992.
5. J. Feng, W. Lin, and C. Chen Epicardial boundary detection using fuzzy reasoning," IEEE Trans. Med. Imag., vol. 10, pp. 187-199, June 1991.
6. C. Chen, T. Huang, and M. Arrott Modeling, analysis and visualization of left ventricle shape and motion by hierarchical decomposition," IEEE Trans. Pattern Anal. Machine Intell., vol. 16, pp. 342-356, Apr. 1994.
7. M. G. Strintzis and I. Kokkinidis Maximum likelihood motion estimation in ultrasound image sequences," IEEE Signal Processing Lett., vol. 4, June 1997.
8. I. Papadopoulos and M. G. Strintzis Bayesian contour estimation of the left ventricle in ultrasound images of the heart," in Proc. IEEE Int. Engineering Medicine Biology Conf., Montreal, Canada, Sept. 1995.
9. C. Kotropoulos, X. Magnisalis, I. Pitas, and M. G. Strintzis Nonlinear ultrasonic image processing based on signal-adaptive filters and selforganizing neural networks," IEEE Trans. Image Processing, vol. 3, pp. 65-78, Jan. 1994.
10. D. Terzopoulos, A. Witkin, and M. Kass Constraints on deformable models: Recovering 3D shape and nonrigid motion," Artif. Intell., vol. 36, pp. 91-123, 1988.
11. A. Pentland Perceptual organization and representation of natural form," Artif. Intell., vol. 28, no. 3, pp. 293-331, 1986.
12. M. Kass, A. Witkin, and D. Terzopoulos Snakes: Active contour models," Int. J. Comput. Vision, vol. 1, pp. 321-331, 1987.
13. L. D. Cohen and I. Cohen Finite-element methods for active contour models and balloons for 2D and 3D images," IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 1131-1146, Nov. 1993.
14. A. Pentland Automatic extraction of deformable part models," Int. J. Comput. Vision, vol. 4, no. 2, pp. 107-126, 1990.
15. A. Pentland and S. Sclaroff Closed form solutions for physically based shape modeling and recognition," IEEE Trans. Pattern Anal. Machine Intell., vol. 13, pp. 715-729, July 1991.
16. S. Malassiotis and M. G. Strintzis Tracking textured deformable objects using a finite element mesh," IEEE Trans. Circuits Syst., to be published.
17. S. E. Sclaroff Modal matching: A method for describing, comparing and manipulating digital signals," Ph.D. dissertation, MIT, Lexington, MA, 1995.
18. M. Kass, A. Witkin, and D. Terzopoulos Snakes: Active contour models," in Proc. First Int. Conf. Computer Vision, 1987, pp. 259-269.
19. D. H. Cooper T. F. Cootes, C. J. Taylor, and J. Graham Active shape models-their training and applications," Comput. Vision Image Understanding, vol. 61, no. 1, Jan. 1995.
20. C. J. Taylor T. F. Cootes, and G. J. Edwards Active appearance models," in European Conf. Computer Vision 1998, vol. 2.
21. D. H. Ballard Generalizing the Hough transform to detect arbitrary shapes," Pattern Recognit., vol. 13, pp. 111-122, 1981.
22. K. F. Lai Deformable contours: Modeling, extraction, detection and classification," Ph.D. dissertation, Univ. Wisconsin, Madison, 1994.
23. M. G. Strintzis, X. Magnisalis, C. Kotropoulos, I. Pitas, and N. Maglaveras Maximum likelihood signal-adaptive filtering of speckle in ultrasound b-mode images," in Proc. IEEE Engineering Medicine Biology Society Conf. (EMBS '92), Paris, France, Nov. 1992.
24. A. A. Amini, T. E. Weymouth, and R. C. Jain Using dynamic programming for solving variational problems in vision," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, pp. 855-867, Sept. 1990.
25. B. K. P. Horn and B. G. Shunck, Robot Vision. Cambridge, MA: MIT, 1986.
26. A. K. Jain, Fundamentals of Digital Image Processing Englewood Cliffs, NJ: Prentice-Hall, 1989.