Browse > Article

Image Reconstruction using Simulated Annealing Algorithm in EIT  

Kim Ho-Chan (Department of Electrical Engineering, Cheju National University)
Boo Chang-Jin (Department of Electrical Engineering, Cheju National University)
Lee Yoon-Joon (Department of Nuclear and Energy Engineering, Cheju National University)
Publication Information
International Journal of Control, Automation, and Systems / v.3, no.2, 2005 , pp. 211-216 More about this Journal
Abstract
In electrical impedance tomography (EIT), various image reconstruction algorithms have been used in order to compute the internal resistivity distribution of the unknown object with its electric potential data at the boundary. Mathematically, the EIT image reconstruction algorithm is a nonlinear ill-posed inverse problem. This paper presents a simulated annealing technique as a statistical reconstruction algorithm for the solution of the static EIT inverse problem. Computer simulations with 32 channels synthetic data show that the spatial resolution of reconstructed images by the proposed scheme is improved as compared to that of the mNR algorithm at the expense of increased computational burden.
Keywords
Electrical impedance tomography; finite element method; inverse problem; simulated annealing;
Citations & Related Records

Times Cited By Web Of Science : 3  (Related Records In Web of Science)
Times Cited By SCOPUS : 4
연도 인용수 순위
1 S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, 'Optimization by simulated annealing,' Science, vol. 220, pp. 671-680, 1983   DOI   PUBMED   ScienceOn
2 C. Cohen-Bacrie, Y. Goussard, and R. Guardo, 'Regularized reconstruction in electrical impedance tomography using a variance uniformization constraint,' IEEE Trans. on Medical Imaging, vol. 16, no. 5, pp. 170-179, 1997
3 M. C. Kim, S. Kim, K. Y. Kim, J. H. Lee, and Y. J. Lee, 'Reconstruction of particle concentration distribution in annular Couette flow using electrical impedance tomography,' Journal of Industrial and Engineering Chemistry, vol. 7, no. 5, pp. 341-347, 2001
4 T. J. Yorkey, J. G. Webster, and W. J. Tompkins, 'Comparing reconstruction algorithms for electrical impedance tomography,' IEEE Trans. on Biomedical Engineering, vol. 34, no. 11, pp. 843-852, 1987   DOI   ScienceOn
5 S. Gemen and D. Geman, 'Stochastic relaxation, Gibbs distribution and the Bayesian restoration in images,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 6, no. 3, pp. 721-741, 1984   DOI   ScienceOn
6 C. J. Grootveld, A. Segal, and B. Scarlett, 'Regularized modified Newton-Raphson technique applied to electrical impedance tomography,' International Journal of Imaging System Technology, vol. 9, pp. 60-65, 1998   DOI   ScienceOn
7 M. Vauhkonen, D. Vadasz, P. A. Karjalainen, and J. P. Kaipio, 'Subspace regularization method for electrical impedance tomography,' Proc. of 1st International Conference on Bioelectromagnetism, Tampere, Finland, pp. 9-13, 1996
8 J. G. Webster, Electrical Impedance Tomography, Adam Hilger, 1990
9 M. Vauhkonen, Electrical Impedance Tomography and Priori Information, Kuopio University Publications Co., Natural and Environmental Sciences 62, 1997
10 L. Ingber, 'Simulated annealing: Practice and theory,' Journal of Mathematical Computation Modelling, vol. 18, no. 11, pp. 29-57, 1993
11 A. Adler and R. Guardo, 'Electrical impedance tomography: regularized imaging and contrast detection,' IEEE Trans. on Medical Imaging, vol. 15, no. 2, pp. 170-179, 1996   DOI   ScienceOn
12 M. Glidewell and K. T. Ng, 'Anatomically constrained electrical impedance tomography for anisotropic bodies via a two-step approach,' IEEE Trans. on Medical Imaging, vol. 14, no. 3, pp. 498-503, 1995   DOI   ScienceOn
13 J. C. Newell, D. G. Gisser, and D. Isaacson, 'An electric current tomograph,' IEEE Trans. on Biomedical Engineering, vol. 35, no. 10, pp. 828-833, 1987   DOI   ScienceOn
14 T. Murai and Y. Kagawa, 'Electrical impedance computed tomography based on a finite element model,' IEEE Trans. on Biomedical Engineering, vol. 32, no. 3, pp. 177-184, 1985   DOI   ScienceOn
15 K. D. Paulsen, P. M. Meaney, M. J. Moskowitz, and J. M. Sullivan, 'A dual mesh scheme for finite element based reconstruction algorithm,' IEEE Trans. on Medical Imaging, vol. 14, no. 3, pp. 504-514, 1995   DOI   ScienceOn