Nonstationary phase boundary estimation in electrical impedance tomography based on the interacting multiple model scheme

Measurement Science and Technology

Volumn 18, Issue 1, 2007, Pages 62-70

  Kim, Bong Seok ^a   Ijaz, Umer Zeeshan ^a   Kim, Jeong Hoon ^a   Kim, Min Chan ^a   Kim, Sin ^a   Kim, Kyung Youn ^a  

^a Jeju National University   (South Korea)

Author keywords

Dynamic electrical impedance tomography; Extended Kalman filter; Interacting multiple model; Phase boundary estimation

Indexed keywords

ALGORITHMS; BOUNDARY CONDITIONS; ELECTRIC IMPEDANCE TOMOGRAPHY; MATHEMATICAL MODELS; RANDOM PROCESSES; STATE ESTIMATION;

DYNAMIC ELECTRICAL IMPEDANCE TOMOGRAPHY; EXTENDED KALMAN FILTER; INTERACTING MULTIPLE MODEL; PHASE BOUNDARY ESTIMATION;

PARAMETER ESTIMATION;

ALGORITHMS; BOUNDARY CONDITIONS; ELECTRIC IMPEDANCE TOMOGRAPHY; MATHEMATICAL MODELS; PARAMETER ESTIMATION; RANDOM PROCESSES; STATE ESTIMATION;

EID: 33947631961     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/18/1/008     Document Type: Conference Paper

References (18)

1. Blom H A P and Bar-Shalom Y 1998 The interacting multiple model algorithm for systems with Markovian switching coefficients IEEE Trans. Autom. Control 33 780-3
2. Cheney M, Isaacson D, Newell J C, Smike S and Goble J 1990 NOSER: an algorithm for solving the inverse conductivity problem Int. J. Imaging Syst. Technol. 2 65-75
3. Gelb A 1974 Applied Optimal Estimation (Cambridge, MA: MIT Press)
4. Han D K and Prosperetti A 1999 A shape decomposition technique in electrical impedance tomography J. Comput. Phys. 155 75-95
5. Hua P, Woo E J, Webster J G and Tompkins W J 1991 Iterative reconstruction methods using regularization and optimal current patterns in electrical impedance tomography IEEE Trans. Med. Imaging 10 621-8
6. Kim B S, Kim M C, Kim S and Kim K Y 2004a Nonstationary electrical impedance tomography with the IMM scheme Meas. Sci. Technol. 15 2113-23
7. Kim K Y, Kim B S, Kim M C, Kim S, Isaacson D and Newell J C 2004b Dynamic electrical impedance imaging with the interacting multiple model scheme Physiol. Meas. 26 S217-33
8. Kim K Y, Kim B S, Kim M C, Lee Y J and Vauhkonen M 2001 Image reconstruction in time-varying electrical impedance tomography based on the extended Kalman filter Meas. Sci. Technol. 12 1032-9
9. Kim M C, Kim S and Kim K Y 2004c Estimation of phase boundaries in two-phase systems by electrical impedance tomography technique J. Ind. Eng. Chem. 10 710-6
10. Kolehmainen V, Arridge S R, Lionheart W R B, Vauhkonen M and Kaipio J P 1999 Recovery of region boundaries of piecewise constant coefficients of an elliptic PDE from boundary data Inverse Problems 15 1375-91
11. Kolehmainen V, Voutilainen A and Kaipio J P 2001 Estimation of non-stationary region boundaries in EIT-state estimation approach Inverse Problems 17 1937-56
12. Mazor E, Averbuch A, Bar-Shalom Y and Dayan J 1998 Interacting multiple model methods in target tracking: a survey IEEE Trans. Aerosp. Electron. Syst. 34 103-23
13. Seppanen A, Vauhkonen M, Somersalo E and Kaipio J P 2001 State space models in process tomography-approximation of state noise covariance Inverse Problems Eng. 9 561-85
14. Somersalo E, Cheney M and Isaacson D 1992 Existence and uniqueness for electrode models for electric current computed tomography SIAM J. Appl. Math. 52 1023-40
15. Vauhkonen M 1997 Electrical impedance tomography and prior information PhD Thesis University of Kuopio, Finland
16. Vauhkonen M, Karjalainen P A and Kaipio J P 1998 A Kalman filter approach applied to the tracking of fast movements of organ boundaries in electrical impedance tomography Proc. 20th Ann. Int. Conf. IEEE Eng. Med. Biol. Soc. (Hong Kong SAR, China) pp 1048-51
17. Webster J G 1990 Electrical Impedance Tomography (Bristol: Hilger)
18. Yorkey T J, Webster J G and Tompkins W J 1987 Comparing reconstruction algorithms for electrical impedance tomography IEEE Trans. Biomed. Eng. 34 843-52