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Objective: Absolute images have important applications in medical ElectricalImpedance Tomography (EIT) imaging, but the traditional minimization andstatistical based computations are very sensitive to modeling errors and noise.In this paper, it is demonstrated that D-bar reconstruction methods forabsolute EIT are robust to such errors. Approach: The effects of errors indomain shape and electrode placement on absolute images computed with 2D D-barreconstruction algorithms are studied on experimental data. Main Results: It isdemonstrated with tank data from several EIT systems that these methods arequite robust to such modeling errors, and furthermore the artefacts arisingfrom such modeling errors are similar to those occurring in classictime-difference EIT imaging. Significance: This study is promising for clinicalapplications where absolute EIT images are desirable, but previously thoughtimpossible.

Robust Computation in 2D Absolute EIT (a-EIT) Using D-bar Methods with the `exp' Approximation