Reconstruction of piecewise constant layered conductivities in electrical impedance tomography

Abstract

This work presents a new constructive uniqueness proof for Calderón's inverse problem of electrical impedance tomography, subject to local Cauchy data, for a large class of piecewise constant conductivities that we call "piecewise constant layered conductivities" (PCLC). The resulting reconstruction method only relies on the physically intuitive monotonicity principles of the local Neumann-to-Dirichlet map, and therefore the method lends itself well to efficient numerical implementation and generalization to electrode models. Several direct reconstruction methods exist for the related problem of inclusion detection, however they share the property that "holes in inclusions" or "inclusions-within-inclusions" cannot be determined. One such method is the monotonicity method of Harrach, Seo, and Ullrich, and in fact the method presented here is a modified variant of the monotonicity method which overcomes this problem. More precisely, the presented method abuses that a PCLC type conductivity can be decomposed into nested layers of positive and/or negative perturbations that, layer-by-layer, can be determined via the monotonicity method. The conductivity values on each layer are found via basic one-dimensional optimization problems constrained by monotonicity relations.

arXiv comment12 pages, 1 figure

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• Reconstruction of singular and degenerate inclusions in Calderón's problem
• A boundary integral equation method for the complete electrode model in electrical impedance tomography with tests on experimental data
• Reconstruction of cracks in Calderón's inverse conductivity problem using energy comparisons
• The inverse obstacle problem for nonlinear inclusions
• Reconstruction in the Calderón problem on a fixed partition from finite and partial boundary data
• Series reversion in Calderón's problem