In this paper, we develop a shape optimization-based algorithm for the electrical impedance tomography (EIT) problem of determining a piecewise constant conductivity on a polygonal partition from boundary measurements. The key tool is to use a distributed shape derivative of a suitable cost functional with respect to movements of the partition. Numerical simulations showing the robustness and accuracy of the method are presented for simulated test cases in two dimensions.

Reconstruction of a piecewise constant conductivity on a polygonal partition via shape optimization in EIT

Beretta, Elena;Micheletti, Stefano;Perotto, Simona;Santacesaria, Matteo
2018-01-01

Abstract

In this paper, we develop a shape optimization-based algorithm for the electrical impedance tomography (EIT) problem of determining a piecewise constant conductivity on a polygonal partition from boundary measurements. The key tool is to use a distributed shape derivative of a suitable cost functional with respect to movements of the partition. Numerical simulations showing the robustness and accuracy of the method are presented for simulated test cases in two dimensions.
2018
Electrical impedance tomography; Neumann-to-Dirichlet map; Reconstruction algorithm; Regularization; Shape optimization; Physics and Astronomy (miscellaneous); Computer Science Applications1707 Computer Vision and Pattern Recognition
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1045391
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