Multiple Regression Fitting Electrical Impedance Spectro-Tomography for Quantitative Image Reconstruction of Dead Cell Fraction and Cell Concentration

A novel image reconstruction method called multiple regression fitting electrical impedance spectro-tomography (mrf-EIST) has been proposed in order to realize the quantitative of dead cell fraction ϕd and concentration cc a huge amount environment. mrf-EIST statistically selects frequencies extract two variables ψd ψc, which quantifyϕd cc, respectively. The images are reconstructed by solving inverse problem using ψc. To validate performance mrf-EIST, frequency range from 100 Hz 1 MHz is carried out under condition that number cells over 109 cells. As result, shows quality defined difference pixel value true less than 0.050 0.071 In comparison frequency-difference EIT (fd-EIT) as conventional EIST regarding position error center gravity, provides much more accurate images, qualitatively quantitatively, compared fd-EIT.