Wall position and thickness estimation from sequences of echocardiographic images

IEEE Transactions on Medical Imaging

Volumn 15, Issue 1, 1996, Pages 25-38

  Dias, José M B ^a   Leitào, José M N ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CARDIOLOGY; COMPUTER SIMULATION; DYNAMIC PROGRAMMING; ESTIMATION; ITERATIVE METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; MUSCLE; OPTIMIZATION; PROBABILITY; RANDOM PROCESSES;

ENDOCARDIAL CONTOUR ESTIMATION; EPICARDIAL CONTOUR ESTIMATION; HEART MORPHOLOGY; ITERATIVE MULTIGRID DYNAMIC PROGRAMMING; MAXIMUM A POSTERIORI;

ECHOCARDIOGRAPHY;

EID: 0030086419     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.481438     Document Type: Article

References (42)

1. J. Dias and J. Leitäo, Wall position and thickness estimation from twodimensional echocardiograms, in IEEE Nucl. Sei. Symp., Med. Imag Con/, 1993, pp. 1246-1250.
2. A. Weyman, Cross-Sectional Echocardiography. Philadelphia, PA: Le and Febiger, 1982.
3. A. Buda and E. Delp, Digital two-dimensional echocardiography, i Digital Cardiac Imaging, A. Buda and E. Delp, Eds. Boston: Martinu Nijhoff, 1985, pp. 41-60.
4. N. Shiller, Echocardiography: Current status and future prospects, Int J. Cardiac Imag., vol. 1, pp. 41-60, 1985.
5. T. Force, E. Folland, N. Aebischer, S. Shanna, and A. Parisi Echocardiographic Assessme.nl nf Ventricular Function. Philadelphia PA: Saunders, 1991, ch. 19, pp. 374-401.
6. L. Eaton, W. Maughan, A. Shoukas, and J. Weiss, Accurate volum determination in the isolated ejecting canine left ventricle by tw dimensional echocardiography, Circ., vol. 60, pp. 320-326, 1979.
7. A. Macovski, Medical Imaging Systems. Englewood Cliffs, NJ Prentice-Hall, 1983.
8. S. Leavitt, B. Hunt, and H. Larsen, A scan conversion algorithm fo displaying ultrasound images, Hewlett-Packard J., vol. 34, pp. 30-34 1983.
9. R. Snyder and J. Conrad, Ultrasound image quality, Hewlett-Packar J., vol. 34, pp. 34-39, 1983.
10. D. Adam, H. Hareuveni, and S. Sideman, Semi-automatic borde tracking of cine echocardiogram ventricular images, IEEE Trans. Med Imag., vol. 6, pp. 266-271, 1987.
11. P. Wallace, Interpretation of the fluctuation echo from randoml distributed scatterers. pt. 2, CandianJ. Phys., vol. 31, pp. 995-1009 1953.
12. C. Chu, E. Delp, and A. Buda, Detecting left ventricular endocardia and epicardial boundaries by digital two-dimentional echocardiography, IEEE Trans. Med. Imag., vol. 7, pp. 91-90, 1988.
13. J. Kingler, C. Voughan, T. Fraker, and L. Andrews, Segmentatio of echocardiographic images using mathematical morphology, IEE Trans. Bio. Eng., vol. 35, pp. 925-934, 1988.
14. N. Friedland and D. Adam, Automatic ventricular boundary detectio from sequential ultrasound images using simulated annealing, IEE Trans. Med. Imag., vol. 4, pp. 344-353, 1989.
15. M. Unser, G. Pelle, P. Brun, and M. Eden, Automated extraction o serial myocardial borders from M-mode echocardiograms, IEEE Trans Med. Imag., vol. 8, pp. 344-353, 1989.
16. I. Berlin and N. Ayache, Feature extraction and analysis methods fo sequences of ultrasound images, Image Vision Comput, vol. 10, pp 673-682, 1992
17. E. Steen and B. Olstad, Scale-space and boundary detection in ultrasound imaging, using signal-adaptive anisotropic diffusion, in Proc SPIE, Med. Imag. 1994: Image Processing, M. H. Loew, Ed., 1994.
18. J. Canny, A computational approach to edge detection, IEEE Trans Pattern Anal Machine Intell, vol. 8, pp. 679-698, 1986.
19. F. Jeng and J. Woods, Compound Gauss-Markov random fields fo image estimation. IEEE Trans. Signal Process., vol. 39, pp. 683-697 1991.
20. T. Simchony, R. Chellappa, and Z. Licfatensteiu, Graduated noiicon vexity algorithm for image estimation using compound Gauss Marko field models, in Proc. Int. Conf. Acoust., Speech, Signal Processing-ICASSP'89, pp. 1417-1420.
21. J. Zerubia and R. Chellappa, Mean field approximation usin compound Gauss-Markov random field for edge detection an image restoration, in Proc. Int. Conf. Acoust., Speech, Signa Processing-ICASSP'90, pp. 2193-2196.
22. M. Figueiredo and J. Leitâo, Adaptive discontinuity location in imag restoration, in Proc. 1st IEEE Int. Conf. Image Processing - KIP'94 1994, pp. II.665-n.669.
23. P. Magnin, Coherent speckle in ultrasound images, Hewlett-Packar f., vol. 34, pp. 39-40, 1983.
24. U. Montanari, On the optimal detection of curves on noisy pictures, Commun. ACM, vol. 14, pp. 335-345, 1971.
25. D. Pope, D. Parker, P. Clayton, and D. Gustafson, Left ventricula border recognition using a dynamic programming search algorithm, Radiolog., vol. 155, pp. 513-517, 1985.
26. A. Amini, T. Weymouth, and R. Jain, Using dynamic programmin for solving variational problems in vision, IEEE Trans. Pattern Anal Machine Intell, vol. 12, pp. 855-867, 1990.
27. D. Geiger and A. Gupta, Detecting and tracking the left and right hear ventricles via dynamic programming, in Proc. SPIE, Med. Imag. 1994 Image Processing, M. H. Loew, Ed., pp. 391-402.
28. M. Hgueiredo and J. Leitao, A nonsmoothing approach to the estimation of vessel contours in angiograms, IEEE Trans. Med. Imag., vol. 14, pp. 162-172, 1995
29. Bayesian estimation of ventricular contours in angiographie images, lEEETrans. Med. Imag., vol. 11, pp. 416-429, 1992
30. E. Marcus, P. Lorente, E. Bartha, R. Beyar, D. Adam, and S. Sideman, A comparative study of quantitative methods for characterization of left ventricular contraction, in Proc. Compta. Cardiol, 1985, pp. 145-148
31. P. Lilly, J. Jenkins, and P. Bourdillon, Automatic contour definition on left ventriculograms by image evidence-arid a multiple template-based model, IEEE Trans. Med. Imag., vol. 8, pp. 173-185, 1989
32. T. Pappas and J. Lim, A new method for estimation of coronary artery dimensions in angiograms, IEEE Trans. Acoust., Speech, Signal Processing., vol. 36, pp. 1501-1513, 1988
33. D. Geiger, A. Gupta, L. Costa, and J. Vlont/os, Dynamic programming for detecting tracking and matching deformable contours, submitted to IEEE Trans. Pattern Anal. Machine Intell
34. S. Geman and D. Geman, Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images, IEEE Trans. Pattern Anal. Machine Intell, vol. 6, pp. 721-741, 1984
35. J. Besag, Spatial interaction and the statistical analysis of lattice systems, J. Royal Slat. Soc. B, vol. 36, pp. 192-225, 1974
36. F. Lizzi et al, Relationship of ultrasonic spectral parameters to features of tissue microstructure, IEEE Trans. Ultrason. Ferroeleci., Freq. Conlr., vol. 33, pp. 319-329, 1986
37. R. Wagner, M. Insana, and D. Brown, Statistical properties of radiofrequency and envelope detected signals with applications to medical ultrasound, J. Opt. Soc. Am., vol. 4, pp. 910-922, 1987
38. H. Karrer and A. Dickey, Ultrasound imaging: An overview, HewlettPackard J., vol. 34, pp. 3-6, 1983
39. S. Kirkpatrick, C. Gelatt, and M. Vecchi, Optimization by simulated annealing, Sei., vol. 220, pp. 671-680, 1983
40. D. Bertsekas and J. Tsitsiklis, Parallel and Distributed Computation. Numerical Methods, Englewood Cliffs, NJ: Prentice-Hall, 1989
41. R. Bellman, Dynamic Programming. Princeton, NJ: Princeton Univ. Press, 1957
42. A. Ishimaru, Wave Propagation and Scattering in Random Media, vol. 1. Norwell, MA: Academic, 1978.