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Prospects for high fidelity imaging in nonlinear EIT using high performance computing

Prospects for high fidelity imaging in nonlinear EIT using high performance computing
Prospects for high fidelity imaging in nonlinear EIT using high performance computing
Linear image reconstruction in EIT has been widely used in medical and process applications, and nearly all of these have been based on approximately uniform distributions of the electrical conductivity in the object under study. Successful applications in medicine have been reported although the markedly non-uniform conductivity distribution in the human body, which is not known a priori, means that artefacts produced by the linear imaging approximation are difficult to exclude. It is important therefore to pursue the full nonlinear problem in order to provide a firm basis for subsequent linear treatments; we have already shown that effective nonlinear EIT can be achieved when appropriate choices are made to constrain the form of the images sought [Blott et al 1998]. In this paper we explore the image resolutions potentially achievable with the availability of improved signal-to-noise in the data. The advent of modern high performance computing allows the production of accurate reference images in practicable time scales, and these can then be used as the basis of high fidelity linear imaging systems in real-time applications. In addition, it becomes feasible to tackle the full 3-d problem.
1-6
Caton, M.J
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Cox, S.J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Blott, BH
3fea5565-06b2-4a99-afe0-a85f9a96f8ba
Daniell, G.J.
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Nicole, D.A.
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Holder, D.
606e5fa8-77d9-4727-a84a-1444f0783ac6
Caton, M.J
3da75307-432d-48ee-aefd-cb09f81a42f5
Cox, S.J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Blott, BH
3fea5565-06b2-4a99-afe0-a85f9a96f8ba
Daniell, G.J.
f6ca2b4b-0ad9-4ae6-8cbe-97d6bffc899f
Nicole, D.A.
0aca6dd1-833f-4544-b7a4-58fb91c7395a
Holder, D.
606e5fa8-77d9-4727-a84a-1444f0783ac6

Caton, M.J, Cox, S.J., Blott, BH, Daniell, G.J. and Nicole, D.A. (1999) Prospects for high fidelity imaging in nonlinear EIT using high performance computing. Holder, D. (ed.) pp. 1-6.

Record type: Conference or Workshop Item (Other)

Abstract

Linear image reconstruction in EIT has been widely used in medical and process applications, and nearly all of these have been based on approximately uniform distributions of the electrical conductivity in the object under study. Successful applications in medicine have been reported although the markedly non-uniform conductivity distribution in the human body, which is not known a priori, means that artefacts produced by the linear imaging approximation are difficult to exclude. It is important therefore to pursue the full nonlinear problem in order to provide a firm basis for subsequent linear treatments; we have already shown that effective nonlinear EIT can be achieved when appropriate choices are made to constrain the form of the images sought [Blott et al 1998]. In this paper we explore the image resolutions potentially achievable with the availability of improved signal-to-noise in the data. The advent of modern high performance computing allows the production of accurate reference images in practicable time scales, and these can then be used as the basis of high fidelity linear imaging systems in real-time applications. In addition, it becomes feasible to tackle the full 3-d problem.

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More information

Published date: 1999
Additional Information: Organisation: EPSRC
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 250976
URI: https://eprints.soton.ac.uk/id/eprint/250976
PURE UUID: b25bbdc1-3546-4ee5-8486-f49f1ae75a2b

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Date deposited: 30 Mar 2000
Last modified: 18 Jul 2017 10:13

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Contributors

Author: M.J Caton
Author: S.J. Cox
Author: BH Blott
Author: G.J. Daniell
Author: D.A. Nicole
Editor: D. Holder

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