Title :
Dynamic image reconstruction in electrical impedance tomography with known internal structures
Author :
Kim, K.Y. ; Kang, S.I. ; Kim, M.C. ; Kim, S. ; Lee, Y.J. ; Vauhkonen, M.
Author_Institution :
Dept. of Electr. & Electron. Eng., Cheju Nat. Univ., South Korea
fDate :
3/1/2002 12:00:00 AM
Abstract :
A dynamic electrical impedance tomography (EIT) imaging technique is described for the cases in which a fixed internal structure and/or its resistivity are known and the resistivity distribution of the rest of the interior of the object changes rapidly within the time taken to acquire a full set of independent measurement data. The inverse problem is treated as a state estimation problem and the unknown state (resistivity) is estimated with the aid of the extended Kalman filter (EKF). We carried out both a computer simulation with synthetic data and a laboratory experiment with real measurement data to illustrate the reconstruction performance of the proposed algorithm
Keywords :
Kalman filters; computerised tomography; electric impedance imaging; image reconstruction; inverse problems; state estimation; computer simulation; dynamic electrical impedance tomography; dynamic image reconstruction; extended Kalman filter; image reconstruction performance; imaging technique; internal structure; inverse problem; laboratory experiment; resistivity distribution; state estimation problem; Computer simulation; Conductivity; Electric variables measurement; Image reconstruction; Impedance measurement; Inverse problems; Laboratories; State estimation; Time measurement; Tomography;
Journal_Title :
Magnetics, IEEE Transactions on
