3-D Heart Modeling and Motion Estimation Based on Continuous Distance Transform Neural Networks and Affine Transform

Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology

Volumn 18, Issue 3, 1998, Pages 207-218

  Tseng, Yen Hao ^a,c,d,e,f   Hwang, Jenq Neng ^a,g,h,i,j   Sheehan, Florence H ^b,e,k,l,m  

^a University of Washington   (United States)

^b UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^c NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^d SYRACUSE UNIVERSITY   (United States)

^e UNIVERSITY OF WASHINGTON   (United States)

^f Odyssey Technologies   (United States)

^g NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^h Princeton University ^*  (United States)

ⁱ PRINCETON UNIVERSITY   (United States)

^j IEEE

^k MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^l UNIVERSITY OF CHICAGO   (United States)

^m Cardiovascular Imaging Laboratory   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ECHOCARDIOGRAPHY; MATHEMATICAL TRANSFORMATIONS; MEDICAL IMAGING; THREE DIMENSIONAL COMPUTER GRAPHICS; ULTRASONIC IMAGING; COMPUTER GRAPHICS; HEALTH CARE; INTEGRAL EQUATIONS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; THREE DIMENSIONAL; ULTRASONICS;

HEART MODEL; MOTION ESTIMATION;

NEURAL NETWORKS; MOTION ESTIMATION;

AFFINE TRANSFORMS; CONTINUOUS DISTANCE TRANSFORM NEURAL NETWORKS (CDTNN); HUMAN INTERACTIONS; INTER-OBSERVER VARIABILITY;

EID: 0032045569     PISSN: 13875485     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. F.H. Sheehan, E.L. Bolson, H.T. Dodge, D.G. Mathey, J. Schofer, and H.W. Woo, "Advantages and applications of the centerline method for characterizing regional ventricular function," Circulation, Vol. 74, pp. 293-305, 1986.
2. H. Delingette, M. Hebert, and K. Ikeuchi, "A spherical representation for the recognition of curved objects," 1993 IEEE 4th International Conference on Computer Vision, Berlin, German, pp. 103-112, 1993.
3. O.D. Faugeras and M. Hebert, "The representation, recognition, and locating of 3-D Objects," Int'l. J. Rob. Res., Vol. 5, No. 3, pp. 27-52, Fall 1986.
4. R.M. Bolle, "Information extraction about complex three-dimensional objects from visual data," Ph.D. Dissertation, Brown University, May 1984. (Also Brown Univ. Tech. Rep. LEMS 6.)
5. R.M. Bolle and D.B. Cooper, "On optimally combining pieces of information, with application to estimating 3-D complex-object position from range data," IEEE Trans. on PAMI, Vol. 8, No. 5, pp. 619-637, Sept. 1986.
6. J. Ponce and D. Chelberg, "Finding the limbs and cusps of generalized cylinders," Int. J. Comp. Vision, Vol. 1, No. 3, 1987.
7. R.J. Bolle and B.C. Vermuri, "On three-dimensional surface reconstruction methods," IEEE Trans. on PAMI, Vol. 13, No. 1, pp. 1-13, Jan. 1991.
8. A.P. Pentland, "Perceptual organization using three-dimensional information," Artificial Intelligence, Vol. 28, No. 2, pp. 293-331, 1986.
9. S.B. Kang and K. Ikeuchi, "The complex EGI: A new representation for 3-D pose determination," IEEE Trans. PAMI, Vol. 15, No. 7, July 1993.
10. G. Taubin, "Algebraic nonplanar curve and surface estimation in 3-space with applications to position estimation," Technical Report, Brown University, LEMS-43, Feb. 1988.
11. B.K. Horn, "Extended Gaussian images," Proc. of the IEEE, Vol. 72, No. 12, Dec. 1984.
12. G. Taubin, "Estimation of planar curves, surfaces, andnonplanar space curves defined by implicit equations with applications to edge and range image segmentation," IEEE Trans, on PAMI, Vol. 13, No. 11, pp. 1115-1138, Nov. 1991.
13. K. Hornik, "Multilayer feedforward networks are universal approximators," Neural Networks, Vol. 2, No. 5, pp. 359-366, 1989.
14. G. Taubin, F. Cukierman, S. Sullivan, J. Ponce, and D.J. Kriegman, "Parameterized families of polynomials for bounded algebraic curve and surface fitting," IEEE Trans. on PAMI, Vol. 16, No. 3, pp. 287-303, March 1994.
15. D. Keren, D. Cooper, and J. Subrahmonia, "Describing complicated objects by implicit polynomials," IEEE Trans, on PAMI, Vol. 16, No. 1, pp. 38-53, Jan. 1994.
16. J.N. Hwang and P.S. Lewis, "From nonlinear optimization to neural network learning," Procceedings 24th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, pp. 985-989, Nov. 1990.
17. Y.H. Tseng, "Neural network techniques for invariant recognition and motion tracking of 3-D objects," Ph.D. Dissertation, University of Washington, Seattle, WA, June 1995.
18. J.N. Hwang, J.J. Choi, S. Oh, and R.J. Marks II, "Query based learning applied to partially trained multilayer perceptrons," IEEE Trans. on Neural Networks, Vol. 2, No. 1, pp. 131-136, Jan. 1991.
19. Y.H. Tseng, J.N. Hwang, and F.H. Sheehan, "3-D heart contour delineation and motion tracking of ultrasound images using continuous distance transform neural networks," in IEEE Workshop on Neural Networks for Signal Processing, Kyoto, Japan, Sept. 1996.
20. P. Vignola, A. Bloch, A. Kaplan, H. Walker, R Chiotellis, and G. Myers, "Interobserver variability in echocardiography," J. Clin. Ultrasound, Vol. 5, pp. 238-242, 1978.
21. J.N. Hwang and Y.H. Tseng, "Neural network representation of continuous 3-D distance transform for invariant object recognition," Int. Conf. on Neural Networks, Orlando, Florida, pp. 4066-4071, June 1994.
22. J.N. Hwang and Y.H. Tseng, "Mental image transformation for 3D motion estimation," Int. Journal of System Engineering, Vol. 4, pp. 183-194, 1994.
23. C. Bundesen and A. Larsen, "Visual transformation of size," Journal of Experimental Psychology: Human Perception and Performance, Vol. 1, No. 3, pp. 214-220, 1975.
24. S.M. Kosslyn, Image and Mind, Harvard University Press, MA, 1980.
25. R.N. Shepard and L.A. Cooper, Mental Images and Their Transformations, MIT Press, Cambridge, Massachusetts, 1982.
26. G.I. Chiou and J.N. Hwang, "A knowledge driven stochastic active contour model (KBS-SNAKE) for contour finding of distinct features," IEEE Trans, on Image Processing, Vol. 4, No. 10, pp. 1407-1416, Oct. 1995.
27. H.G. Barrow, J.M. Tenenbaum, R.C. Bolles, and H.C. Wolf, "Parametric correspondence and chamfer matching: Two new techniques for image matching," Proceedings, 5th Int. Joint Conf. Artificial Intelligence, Cambridge, MA, pp. 659-663, 1977.
28. G. Borgefors, "An improved version of the chamfer matching algorithm," Proceedings 7th Int. Conf. Pattern Recognition, Montreal Canada, pp. 1175-1177, 1984.
29. G. Borgefors, "Hierarchical chamfer matching: A parametric edge matching algorithm," IEEE Trans. on PAMI, Vol. 10, No. 6, pp. 849-865, Nov. 1988.
30. S. Konstadt, H. Abrahams, M. Nejat, and D. Reich, "Are wall thickening measurements reproducible," Anesth Analg., Vol. 78, No. 1, pp. 619-623, 1994.
31. D. Nguyen and B. Widrow, "The truck backer-upper: An example of self-learning in neural networks," Int. Joint Conf. on Neural Networks (IJCNN), Washington, D.C., pp. II357-II363, June 1989.