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Fusing electrical and elasticity imaging

Hauptmann, A; Smyl, D; (2021) Fusing electrical and elasticity imaging. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , 379 (2200) , Article 20200194. 10.1098/rsta.2020.0194. Green open access

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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'.

Type: Article
Title: Fusing electrical and elasticity imaging
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1098/rsta.2020.0194
Publisher version: https://doi.org/10.1098/rsta.2020.0194
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: electrical impedance tomography, joint reconstruction, nonlinear inverse problems, quasi-static elasticity imaging
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10127964
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