Comparison of linear and non-linear monotonicity-based shape reconstruction using exact matrix characterizations

Publikation: Forskning - peer reviewTidsskriftartikel

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Abstrakt

Detecting inhomogeneities in the electrical conductivity is a special case of the inverse problem in electrical impedance tomography, that leads to fast direct reconstruction methods. One such method can, under reasonable assumptions, exactly characterize the inhomogeneities based on monotonicity properties of either the Neumann-to-Dirichlet map (non-linear) or its Fréchet derivative
(linear). We give a comparison of the non-linear and linear approach in the presence of measurement noise, and show numerically that the two methods give essentially the same reconstruction in the unit disk domain. For a fair comparison, exact matrix characterizations are used when probing the monotonicity relations to avoid errors from numerical solution to PDEs and numerical integration. Using a special factorization of the Neumann-to-Dirichlet map also makes the nonlinear method as fast as the linear method in the unit disk geometry.
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Detaljer

Detecting inhomogeneities in the electrical conductivity is a special case of the inverse problem in electrical impedance tomography, that leads to fast direct reconstruction methods. One such method can, under reasonable assumptions, exactly characterize the inhomogeneities based on monotonicity properties of either the Neumann-to-Dirichlet map (non-linear) or its Fréchet derivative
(linear). We give a comparison of the non-linear and linear approach in the presence of measurement noise, and show numerically that the two methods give essentially the same reconstruction in the unit disk domain. For a fair comparison, exact matrix characterizations are used when probing the monotonicity relations to avoid errors from numerical solution to PDEs and numerical integration. Using a special factorization of the Neumann-to-Dirichlet map also makes the nonlinear method as fast as the linear method in the unit disk geometry.
OriginalsprogEngelsk
TidsskriftInverse Problems in Science and Engineering
Vol/bind26
Tidsskriftsnummer1
Sider (fra-til)33-50
Antal sider18
ISSN1741-5977
DOI
StatusUdgivet - 2018
PublikationsartForskning
Peer reviewJa
Eksternt udgivetJa
ID: 251831776