Electrical Impedance Computed Tomography -algorithms And Applications

The reasons for the low resolution of the Electrical Impedance Computed Tomography(E1CT) algorithms have not been fully explored. Previous investigations focused on the dis- cussions of numerical features of an algorithm. This paper dis- cussed such problems by implementing Point-Accumulative Point-Iterative algorithms to multi-port resistive networks ac- cording to the similarities of the Finite Element method and lin- ear network analysis. The results indicate that improper mea- surement pattems in EICT can cause an EICT algorithm's failure although the number of independent measurements are still higher than the number of unknowns. With the help of graph theory, it is shown that the image quality of EICT is not only dependent on the numerical features of an EICT system, but also on its topological structure. An optimal excitationl measurement pattem algorithm in topological sense is then pro- posed. Successful simulations in the twociimensional field problems are performed. Suggestions to the three-dimensional applications of EICT are made based on the results from the multi-port resistive network recovery.