Dynamic electrical impedance imaging with the interacting multiple model scheme.
In this paper, an effective dynamical EIT imaging scheme is presented for on-line monitoring of the abruptly changing resistivity distribution inside the object, based on the interacting multiple model (IMM) algorithm. The inverse problem is treated as a stochastic nonlinear state estimation problem with the time-varying resistivity (state) being estimated on-line with the aid of the IMM algorithm. In the design of the IMM algorithm multiple models with different process noise covariance are incorporated to reduce the modeling uncertainty. Simulations and phantom experiments are provided to illustrate the proposed algorithm.
Kim
Kyung Youn
KY
Department of Electrical and Electronic Engineering, Cheju National University, Cheju 690-756, Korea. kyungyk@cheju.ac.kr
Kim
Bong Seok
BS
Kim
Min Chan
MC
Kim
Sin
S
Isaacson
David
D
Newell
Jonathan C
JC
D000465:Algorithms; D000818:Animals; D001824:Body Constitution / Q000502:physiology*; D003198:Computer Simulation; D017097:Electric Impedance; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008954:Models, Biological; D019047:Phantoms, Imaging; D010992:Plethysmography, Impedance / Q000295:instrumentation / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014054:Tomography / Q000295:instrumentation / Q000379:methods*