Generalized linearization techniques in electrical impedance tomography

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Generalized linearization techniques in electrical impedance tomography. / Hyvönen, Nuutti; Mustonen, Lauri.

julkaisussa: Numerische Mathematik, Vuosikerta 140, Nro 1, 09.2018, s. 95-120.

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Hyvönen, Nuutti ; Mustonen, Lauri. / Generalized linearization techniques in electrical impedance tomography. Julkaisussa: Numerische Mathematik. 2018 ; Vuosikerta 140, Nro 1. Sivut 95-120.

Bibtex - Lataa

@article{5fe801c7d913445faa7b4f164097fe6e,
title = "Generalized linearization techniques in electrical impedance tomography",
abstract = "Electrical impedance tomography aims at reconstructing the interior electrical conductivity from surface measurements of currents and voltages. As the current–voltage pairs depend nonlinearly on the conductivity, impedance tomography leads to a nonlinear inverse problem. Often, the forward problem is linearized with respect to the conductivity and the resulting linear inverse problem is regarded as a subproblem in an iterative algorithm or as a simple reconstruction method as such. In this paper, we compare this basic linearization approach to linearizations with respect to the resistivity or the logarithm of the conductivity. It is numerically demonstrated that the conductivity linearization often results in compromised accuracy in both forward and inverse computations. Inspired by these observations, we present and analyze a new linearization technique which is based on the logarithm of the Neumann-to-Dirichlet operator. The method is directly applicable to discrete settings, including the complete electrode model. We also consider Fr{\'e}chet derivatives of the logarithmic operators. Numerical examples indicate that the proposed method is an accurate way of linearizing the problem of electrical impedance tomography.",
author = "Nuutti Hyv{\"o}nen and Lauri Mustonen",
year = "2018",
month = "9",
doi = "10.1007/s00211-018-0959-1",
language = "English",
volume = "140",
pages = "95--120",
journal = "Numerische Mathematik",
issn = "0029-599X",
number = "1",

}

RIS - Lataa

TY - JOUR

T1 - Generalized linearization techniques in electrical impedance tomography

AU - Hyvönen, Nuutti

AU - Mustonen, Lauri

PY - 2018/9

Y1 - 2018/9

N2 - Electrical impedance tomography aims at reconstructing the interior electrical conductivity from surface measurements of currents and voltages. As the current–voltage pairs depend nonlinearly on the conductivity, impedance tomography leads to a nonlinear inverse problem. Often, the forward problem is linearized with respect to the conductivity and the resulting linear inverse problem is regarded as a subproblem in an iterative algorithm or as a simple reconstruction method as such. In this paper, we compare this basic linearization approach to linearizations with respect to the resistivity or the logarithm of the conductivity. It is numerically demonstrated that the conductivity linearization often results in compromised accuracy in both forward and inverse computations. Inspired by these observations, we present and analyze a new linearization technique which is based on the logarithm of the Neumann-to-Dirichlet operator. The method is directly applicable to discrete settings, including the complete electrode model. We also consider Fréchet derivatives of the logarithmic operators. Numerical examples indicate that the proposed method is an accurate way of linearizing the problem of electrical impedance tomography.

AB - Electrical impedance tomography aims at reconstructing the interior electrical conductivity from surface measurements of currents and voltages. As the current–voltage pairs depend nonlinearly on the conductivity, impedance tomography leads to a nonlinear inverse problem. Often, the forward problem is linearized with respect to the conductivity and the resulting linear inverse problem is regarded as a subproblem in an iterative algorithm or as a simple reconstruction method as such. In this paper, we compare this basic linearization approach to linearizations with respect to the resistivity or the logarithm of the conductivity. It is numerically demonstrated that the conductivity linearization often results in compromised accuracy in both forward and inverse computations. Inspired by these observations, we present and analyze a new linearization technique which is based on the logarithm of the Neumann-to-Dirichlet operator. The method is directly applicable to discrete settings, including the complete electrode model. We also consider Fréchet derivatives of the logarithmic operators. Numerical examples indicate that the proposed method is an accurate way of linearizing the problem of electrical impedance tomography.

UR - http://www.scopus.com/inward/record.url?scp=85044214004&partnerID=8YFLogxK

U2 - 10.1007/s00211-018-0959-1

DO - 10.1007/s00211-018-0959-1

M3 - Article

VL - 140

SP - 95

EP - 120

JO - Numerische Mathematik

JF - Numerische Mathematik

SN - 0029-599X

IS - 1

ER -

ID: 18791152