Robust Computation of 2D EIT Absolute Images with D-bar Methods
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Absolute images have important applications in medical Electrical Impedance Tomography (EIT) imaging, but the computations are very sensitive to modeling errors and noise. In this paper the effects of errors in domain shape and electrode placement on absolute images computed with 2-D D-bar reconstruction algorithms are studied. It is demonstrated with experimental tank data from several EIT systems that these methods are quite robust to such modeling errors, and furthermore the artefacts arising from such modeling errors are similar to those occurring in classic time-difference EIT imaging.
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