Fast Static Image Reconstruction using Adaptive Mesh Grouping Method in EIT

Abstract

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.