Fusing electrical and elasticity imaging

Author:

Hauptmann Andreas12ORCID,Smyl Danny3

Affiliation:

1. Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland

2. Department of Computer Science, University College London, London, UK

3. Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK

Abstract

Electrical and elasticity imaging are promising modalities for a suite of different applications, including medical tomography, non-destructive testing and structural health monitoring. These emerging modalities are capable of providing remote, non-invasive and low-cost opportunities. Unfortunately, both modalities are severely ill-posed nonlinear inverse problems, susceptive to noise and modelling errors. Nevertheless, the ability to incorporate complimentary datasets obtained simultaneously offers mutually beneficial information. By fusing electrical and elastic modalities as a joint problem, we are afforded the possibility to stabilize the inversion process via the utilization of auxiliary information from both modalities as well as joint structural operators. In this study, we will discuss a possible approach to combine electrical and elasticity imaging in a joint reconstruction problem giving rise to novel multi-modality applications for use in both medical and structural engineering. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 1’.

Funder

Academy of Finland

Engineering and Physical Sciences Research Council

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Reference48 articles.

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Structural engineering from an inverse problems perspective;Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences;2022-01

2. Synergistic tomographic image reconstruction: part 1;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2021-05-10

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