Volume 56, Number 2, March-April 2022
|Page(s)||705 - 726|
|Published online||15 March 2022|
Shape reconstructions by using plasmon resonances
School of Mathematics, Hunan University, Changsha 410082, P.R. China
2 Department of Mathematics, City University of Hong Kong, Kowloon, Hong Kong, P.R. China
Accepted: 14 February 2022
We study the shape reconstruction of an inclusion from the faraway measurement of the associated electric field. This is an inverse problem of practical importance in biomedical imaging and is known to be notoriously ill-posed. By incorporating Drude’s model of the permittivity parameter, we propose a novel reconstruction scheme by using the plasmon resonance with a significantly enhanced resonant field. We conduct a delicate sensitivity analysis to establish a sharp relationship between the sensitivity of the reconstruction and the plasmon resonance. It is shown that when plasmon resonance occurs, the sensitivity functional blows up and hence ensures a more robust and effective construction. Then we combine the Tikhonov regularization with the Laplace approximation to solve the inverse problem, which is an organic hybridization of the deterministic and stochastic methods and can quickly calculate the minimizer while capture the uncertainty of the solution. We conduct extensive numerical experiments to illustrate the promising features of the proposed reconstruction scheme.
Mathematics Subject Classification: 65N21 / 35R30 / 78A46 / 65H50
Key words: Shape reconstruction / plasmon resonance / sensitivity analysis / Tikhonov regularization / Laplace approximation
© The authors. Published by EDP Sciences, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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