Image reconstruction algorithm for electrical impedance tomography using updated sensitivity matrix

Electrical impedance tomography (EIT) is a technique to reconstruct the conductivity distribution of an inhomogeneous medium. Sensitivity matrix of EIT is calculated with a selected reference conductivity distribution, which will change with the media distribution. Landweber iterative algorithm based on updated sensitivity matrix was presented in this paper. Reconstructed image based on conventional Landweber iteration was selected as the initial image for sensitivity matrix update, and the reconstructed images after sensitivity matrix update using different initial images were compared. The effect on the quality of reconstructed images for different times of sensitivity matrix update was also analyzed. Simulation and static test results showed that reconstructed images with higher quality can be obtained.