In this work we show the algorithms developed to extract the Cole parameter
s from multi-Frequency EIT. With these parameters it is possible to obtain
information about various different tissues and their pathologies. The algo
rithms developed obtain the Cole-model parameters from the real and imagina
ry parts of impedance, or using only the real part, without problems of con
vergence. A study of the influence of noise is performed with simulations.
We find a correct solution in all cases with signal to noise ratio in the d
ata higher than 40 dB. Finally, we show parametric images of the human abdo
men obtained with these algorithms.