Literature DB >> 33966458

Fusing electrical and elasticity imaging.

Andreas Hauptmann1,2, Danny Smyl3.   

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'.

Keywords:  electrical impedance tomography; joint reconstruction; nonlinear inverse problems; quasi-static elasticity imaging

Year:  2021        PMID: 33966458     DOI: 10.1098/rsta.2020.0194

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

1.  Synergistic tomographic image reconstruction: part 1.

Authors:  Charalampos Tsoumpas; Jakob Sauer Jørgensen; Christoph Kolbitsch; Kris Thielemans
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-05-10       Impact factor: 4.226

Review 2.  Structural engineering from an inverse problems perspective.

Authors:  A Gallet; S Rigby; T N Tallman; X Kong; I Hajirasouliha; A Liew; D Liu; L Chen; A Hauptmann; D Smyl
Journal:  Proc Math Phys Eng Sci       Date:  2022-01-26       Impact factor: 2.704

  2 in total

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