Fast Static Image Reconstruction using Adaptive Mesh Grouping Method in EIT

For the practical applications of the electrical impedance tomography (EIT) technology, it is essential to reconstruct static images with a higher spatial resolution in a reasonable amount of processing time. Using the conventional EIT static image reconstruction algorithms, however, the processing time increases rapidly with poor convergence characteristics as we try to get a higher spatial resolution. In order to overcome this problem, we propose an adaptive mesh grouping method based on a fuzzy-GA algorithm. Computer simulations using the improved Newton-Raphson method combined with the adaptive mesh grouping algorithm showed a promising result that we can significantly reduce the computation time without sacrificing the spatial resolution.