Microwave Imaging Based on a Markov Random Field Model

IEEE Transactions on Antennas and Propagation

Volumn 42, Issue 3, 1994, Pages 293-303

  Caorsi, S ^a   Gragnani, G L ^a   Medicina, S ^a   Pastorino, M ^a   Zunino, G ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DIELECTRIC DEVICES; IMAGING TECHNIQUES; MATHEMATICAL MODELS; MATHEMATICAL TECHNIQUES; NUMERICAL ANALYSIS;

DIELECTRIC SCATTERERS; MARKOV RANDOM FIELD MODEL; MICROWAVE IMAGING; SIMULATED ANNEALING ALGORITHM;

MICROWAVES;

EID: 0028393027     PISSN: 0018926X     EISSN: 15582221     Source Type: Journal    
DOI: 10.1109/8.280714     Document Type: Article

References (29)

1. W. M. Boerner et al. (Eds.), “Inverse Methods in Electromagnetic Imaging,” Parts 1 and 2, Don Reidel, Dordrecht, Holland, 1985.
2. J. C. Bolomey, “Recent European developments in active microwave imaging for industrial, scientific and medical applications,” IEEE Trans. Microwave Theory Tech., vol. MTT-37, pp. 2109-2117, 1989.
3. A. G. Tijhuis, “Iterative determination of permittivity and conductivity profiles of a dielectric slab in the time domain,” IEEE Trans. Antennas Propagat., vol. AP-29, pp. 239-245, 1981.
4. G. Kristensson and R. Krueger, “Direct and inverse scattering of transient electromagnetic waves,” Proc. of the 1989 URSI Symp. on Electromagnetic Theory, Stockholm, Sweden, pp. 169-171, 1989.
5. M. Slaney, M. Azimi, A. C. Kak and L. E. Larsen, “Microwave imaging with first order diffraction tomography,” in Medical Applications of Microwave Imaging, L. E. Larsen and J. H. Jacobi, Eds., pp. 184-212, IEEE Press, New York, 1986.
6. M. M. Ney, A. M. Smith and S. S. Stuchly, “A solution of electromagnetic imaging using pseudoinverse transformation,” IEEE Trans. Med. Imaging, vol. MI-3, pp. 155-162, 1984.
7. T. C. Guo and W. W. Guo, “Physics of image formation by microwave scattering,” SPIE Proc., vol. 767, 1987.
8. S. Caorsi, G. L. Gragnani and M. Pastorino, “Equivalent current density reconstruction for microwave imaging purposes,” IEEE Trans. Microwave Theory Tech., vol. MTT-37, pp. 910-916, 1989.
9. M. J. Hagmann and R. L. Levin, “Procedures for noninvasive electromagnetic property and dosimetry measurements,” IEEE Trans. Antennas Propagat., vol. AP-38, pp. 99-106, 1990.
10. S. Geman and D. Geman, “Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-6, pp. 721-741, 1984.
11. S. Kirkpatrick, C. D. Gelatt, Jr. and M. P. Vecchi, “Optimization by simulated annealing,” Science, vol. 220, pp. 671-680, 1983.
12. A. Corana, M. Marchesi, C. Martini and S. Ridella, “Minimizing multimodal functions of continuous variables with the Simulated Annealing algorithm,” ACM Trans, on Mathematical Software, vol. 13, pp. 262-280, 1987.
13. S. Caorsi, G. L. Gragnani, S. Medicina, M. Pastorino and G. Zunino, “Microwave imaging method using a simulated annealing approach,” IEEE Microwave and Guided Wave Letters, vol. MGWL-1, pp. 331-333, 1991.
14. T. K. Sarkar, D. D. Weiner and V. K. Jain, “Some mathematical considerations in dealing with the inverse problem,” IEEE Trans. Antennas Propagat., vol. AP-29, pp. 373-379, 1981.
15. P. J. Green, “Bayesian reconstructions from emission tomography data using a modified EM algorithm,” IEEE Trans, on Med. Imaging, vol. MI-9, pp. 84-93, 1990.
16. H. Derin and H. Elliott, “Modeling and segmentation of noisy and textured images using Gibbs random fields,” IEEE Trans. Pattern Anal. Machine Intell, vol. PAMI-9, pp. 39-55, 1987.
17. D. W. Murray and B. F. Buxton, “Scene segmentation from visual motion using global optimization,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-9, pp. 220-228, 1987.
18. J. L. Marroquin, “Probabilistic solution of inverse problems,” Ph.D. thesis, Massachussetts Institute of Technology, Cambridge, MA, 1985.
19. E. Gamble and T. Poggio, “Visual integration and detection of discontinuities: the key role of intensity edges,” A.I. Memo no. 970, Massachusetts Institute of Technology, 1987.
20. K. J. Kearfott and S. E. Hill, “Simulated Annealing image reconstruction method for a pinhole aperture single photon emission computed tomography (SPECT),” IEEE Trans, on Med. Imaging, vol. MI-9, pp. 128-143, 1990.
21. B. Hajek, “Cooling schedules for optimal annealing,” Math, of Op. Research, vol. 13, pp. 311-329, 1988.
22. K. Sekihara, H. Haneishi and N. Ohyama, “Details of simulated annealing algorithm to estimate parameters of multiple current dipoles using biomagnetic data,” IEEE Trans. Medical Imaging, vol. MI-11, pp. 293-299, 1992.
23. D. S. Jones, “The Theory of Electromagnetism,” Pergamon Press, New York, 1964.
24. S. Caorsi. G. L. Gragnani and M. Pastorino, “An approach to microwave imaging using a multiview moment-method solution for a 2-D infinite cylinder,” IEEE Trans. Microwave Theory Tech., vol. MTT-39, pp. 1062-1067, 1991.
25. S. Caorsi, A. Frattoni, G. L. Gragnani, E. Nortino and M. Pastorino, “A numerical algorithm for dielectric-permittivity microwave-imaging of inhomogeneous biological bodies,” Med. & Biol. Eng. & Comput., vol. 29, 1991.
26. L. Garnero, A. Franchois, J.-P. Hugonin, C. Pichot and N. Joachimowicz, “Microwave imaging-complex permittivity reconstruction by simulated annealing,” IEEE Trans. Microwave Theory Tech., vol. MTT-39, pp. 1801-1807, 1991.
27. M. Baribaud, “Microwave imagery: analytical method and maximum entropy method,” Journal of Physics D: Appl. Phys., vol. 23, pp. 269-288, 1990.
28. S.-Y. Kim, H.-C. Choi, J.-W. Ra and S.-Y. Lee, “Electromagnetic imaging of 2-D inhomogeneous dielectric objects by an improved spectral inverse technique,” IEEE Trans. Magnetics, vol. MAG-26, pp. 634-637, 1990.
29. W. C. Chew and Y. M. Wang, “Reconstruction of two-dimensional permittivity distribution using the distorted Born iterative method,” IEEE Trans, on Med. Imaging, vol. MI-9, pp. 218-225, 1990.