Concentration distribution estimation of fluid through electrical impedance tomography based on interacting multiple model scheme

Flow Measurement and Instrumentation

Volumn 18, Issue 1, 2007, Pages 47-56

  Ijaz, Umer Zeeshan ^a   Kim, Jeong Hoon ^a   Khambampati, Anil Kumar ^a   Kim, Min Chan ^a   Kim, Sin ^a   Kim, Kyung Youn ^a  

^a Jeju National University   (South Korea)

Author keywords

Electrical impedance tomography; Interacting multiple models; Kalman filtering; Process tomography

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ELECTRIC IMPEDANCE TOMOGRAPHY; EXTENDED KALMAN FILTERS; MATHEMATICAL MODELS;

CONCENTRATION DISTRIBUTION; INTERACTING MULTIPLE MODELS; PROCESS TOMOGRAPHY;

FLOW MEASUREMENT;

ALGORITHMS; COMPUTER SIMULATION; ELECTRIC IMPEDANCE TOMOGRAPHY; EXTENDED KALMAN FILTERS; FLOW MEASUREMENT; MATHEMATICAL MODELS;

EID: 33847105945     PISSN: 09555986     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.flowmeasinst.2006.12.005     Document Type: Article

References (19)

1. Williams R.A., and Beck M.S. Process tomography: Principles, techniques and applications (1995), Butterworth-Heinemann, Oxford
2. Bolton G.T., and Primrose K.M. An overview of electrical tomographic measurements in pharmaceutical and related application areas. AAPS PharmSciTech 6 2 (2005) E137-E143
3. Seppanen A., Vauhkonen M., Vauhkonen P.J., Somersalo E., and Kaipio J.P. State estimation with fluid dynamical evolution models in process tomography - an application to impedance tomography. Inverse Problems 17 (2001) 467-484
4. Seppanen A., Vauhkonen M., Somersalo E., and Kaipio J.P. State space models in process tomography-approximation of state noise covariance. Inverse Problems in Eng 9 (2001) 561-585
5. Kim B.S., Kim M.C., Kim S., and Kim K.Y. Nonstationary electrical impedance imaging with the IMM scheme. Meas Sci Technol 15 (2004) 2113-2123
6. Chang R. Physical chemistry with applications to biological systems (1981), Collier-Macmillan, London
7. George D.L., Torczynsci J.R., Shollenberger K.A., O'Hern T.J., and Ceccio S.L. Validation of electrical-impedance tomography for measurement of material distribution in two-phase flows. Int J Multiph Flow 26 (2000) 549-581
8. Webster J.G. Electrical Impedance Tomography (1990), Adam Hilger, Bristol
9. Cheney M., Isaacson D., and Newell J.C. Electrical impedance tomography. SIAM Rev 41 (1999) 85-101
10. Somersalo E., Cheney M., and Isaacson D. Existence and uniqueness for electrode models for electric current computed tomography. SIAM J Appl Math 52 (1992) 1023-1040
11. Vauhkonen M. Electrical impedance tomography and prior information Ph.D: thesis. Finland: University of Kuopio; 1997
12. Bar-Shalom Y., and Li X.R. Estimation and tracking: Principles, techniques, and softwares (1993), Artech House, London
13. Mazor E., Averbuch A., Bar-Shalom Y., and Dayan J. Interacting multiple model methods in target tracking. IEEE Trans AES 34 (1998) 103-123
14. Gelb A. Applied optimal estimation (1974), The M.I.T. Press, Massachusetts
15. Grewal M.S., and Andrews A.P. Kalman filtering: Theory and Practice (1993), Prentice Hall, New Jersey
16. Kim K.Y., Kim B.S., Kim M.C., Lee Y.J., and Vauhkonen M. Image reconstruction in time-varying electrical impedance tomography based on the extended Kalman filter. Meas Sci Technol 12 (2001) 1032-1039
17. Kim K.Y., Kang S.I., Kim M.C., Kim S., Lee Y.J., and Vauhkonen M. Dynamic image reconstruction in electrical impedance tomography with known internal structures. IEEE Trans Magn 38 (2002) 1301-1304
18. Vauhkonen M., Karjalainen P.A., and Kaipio J.P. A Kalman filter approach to track fast impedance changes in electrical impedance tomography. IEEE Trans Biomed Eng 45 (1998) 486-493
19. Vauhkonen M., Vadasz D., Karjalainen P.A., Somersalo E., and Kaipio J.P. Tikhonov regularization and prior information in electrical impedance tomography. IEEE Trans Med Imaging 17 (1998)