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Electrical Impedance Tomography (EIT) uses harmless surface electrical measurements to image the interior conductivity/permittivity of an object. The EIT problem is a severely ill-posed nonlinear inverse problem requiring carefully designed algorithms for robust image reconstruction. Recovering "absolute/static" EIT images is particularly challenging and often thought impossible. No simulated guess solutions are required for the "Matrix D-bar Method" making it remarkably robust to incorrect electrode locations and boundary shape. Absolute reconstructions from experimental data are presented.
This presentation is part of Minisymposium “MS20 - Advances in Reconstruction Methods for Electrical Impedance Tomography (3 parts)”
organized by: Melody Alsaker (Gonzaga University) , Samuli Siltanen (University of Helsinki) .