A Multimodal Tomography System Based on ECT Sensors

IEEE Sensors Journal

Volumn 7, Issue 3, 2007, Pages 426-433

  Teixeira, Fernando L ^a   Fan, Liang Shih ^b  

^a Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Electrical capacitance sensor; impedance tomography; iterative reconstruction; quasi static fields

Indexed keywords

EID: 85008044347     PISSN: 1530437X     EISSN: 15581748     Source Type: Journal    
DOI: 10.1109/JSEN.2006.890149     Document Type: Article

References (22)

1. D. M. Scott and H. McCann, Process Imaging For Automatic Control. New York: Taylor & Francis, 2005.
2. R. A. Williams and M. S. Beck, Process Tomography: Principles, Techniques, and Applications. Oxford, U.K.: Butterworth-Heinemann, 1995.
3. M. S. Beck and R. A. Williams, “Process tomography: A European innovation and its applications,” Meas. Sci. Technol., vol. 7, pp. 215–224, 1996.
4. W. Warsito and L.-S. Fan, “Neural network based multi-criterion optimization image reconstruction technique for imaging two- and three-phase flow systems using electrical capacitance tomography,” Meas. Sci. Technol., vol. 12, pp. 2198–2210, 2001.
5. B. T. Hjertaker, S.-A. Tjugum, E. A. Hammer, and G. A. Johansen, “Multimodality tomography for multiphase hydrocarbon flow measurements,” IEEE Sensors J., vol. 5, no. 2, pp. 153–160, Apr., 2005.
6. T. York, “Status of electrical tomography in industrial applications,” J. Electron. Imag., vol. 10, no. 3, pp. 608–619, 2001.
7. M. Cheney, D. Isakson, and J. C. Newell, “Electrical impedance tomography,” SIAM Rev., vol. 41, no. 1, pp. 85–101, 1999.
8. F. Dickin and M. Wang, “Electrical resistance tomography for process application,” Meas. Sci. Technol., vol. 7, pp. 247–260, 1996.
9. E. D. Torre, The Electromagnetic Field. Boston, MA: Allyn and Bacon, 1969.
10. W. Q. Yang, “Hardware design of electrical capacitance tomography systems,” Meas. Sci. Technol., vol. 7, pp. 225–232, 1996.
11. R. B. Adler, L. J. Chu, and R. M. Fano, Electromagnetic Energy Transmission and Radiation. New York: Wiley, 1960.
12. W. Q. Yang and L. Peng, “Image reconstruction algorithms for electrical capacitance tomography,” Meas. Sci. Technol., vol. 12, pp. R1-R13, 2003.
13. O. Isakson, “A review of reconstruction techniques for capacitance tomography,” Meas. Sci. Technol., vol. 7, pp. 325–337, 1996.
14. J. C. Munk, T. J. C. Faes, and R. M. Heethaar, “The boundary element method in the forward and inverse problem of electrical impedance tomography,” IEEE Trans. Biomed. Eng., vol. 47, no. 6, pp. 792–800, Jun. 2000.
15. S. M. Huang, A. Plaskowski, C. G. Xie, and M. S. Beck, “Tomographic imaging of two-component flow using capacitance sensors,” J. Phys. E: Sci. Instrum., vol. 22, pp. 173–177, 1989.
16. L. H. Peng, H. Merkus, and B. Scarlet, “Using regularization methods for image reconstruction of electrical capacitance tomography,” Part. Syst. Charact., vol. 17, pp. 96–104, 2000.
17. Q. Marashdeh and F. L. Teixeira, “Sensitivity matrix calculation for fast 3-D electrical capacitance tomography (ECT) of flow systems,” IEEE Trans. Magn., vol. 40, no. 2, pp. 1204–1207, Mar. 2004.
18. H. Yan, L. J. Liu, H. Xu, and F. Q. Shao, “Image reconstruction in electrical capacitance tomography using multiple linear regression and regularzation,” Meas. Sci. Technol., vol. 12, pp. 575–581, 2001.
19. K. L. Ostrowski, S. P. Luke, and R. A. Williams, “Application of conjugate harmonics to electrical process tomography,” Meas. Sci. Technol., vol. 7, pp. 316–324, 1996.
20. W. Fang, “A nonlinear image reconstruction algorithm for electrical capacitance tomography,” Meas. Sci. Technol., vol. 15, pp. 2124–2132, 2004.
21. Q. Marashdeh, W. Warsito, L.-S. Fan, and F. L. Teixeira, “Nonlinear forward problem solution for electrical capacitance tomography using feed-forward neural network,” IEEE Sensors J., vol. 6, no. 2, pp. 441-449, Apr. 2006.
22. M. Bertero, T. A. Pogcio, and V. Torre, “Ill-posed problems in early vision,” Proc. IEEE, vol. 76, no. 8, pp. 869–889, Aug. 1988.