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Poster: Fast Electrical Impedance Tomography for Non-Invasive Medical Imaging

Poster: Fast Electrical Impedance Tomography for Non-Invasive Medical Imaging
Poster: Fast Electrical Impedance Tomography for Non-Invasive Medical Imaging
Non-linear Electrical Impedance Tomography (EIT) is a novel technique for non-invasive and cost-effective imaging of internal structures of the human body. EIT tries to reconstruct the differing electrical conductivities within the body from current injection and voltage measurements through skin electrodes. This method provides images which cannot be obtained by other imaging methods and is also much more harmless. The solution of this ill-posed Inverse Problem involves the inversion of a simplified set of Maxwell's Equations on the domain under investigation. This can be achieved efficiently with todays computer power when certain conditions are met. We have developed an algorithm, which reduces the number of finite elements required in the reconstruction process. This results in faster convergence of the solution at higher accuracy compared to conventionally applied techniques. We demonstrate how the gained speed-up in the image formation process enhances the potential use of EIT in medical real-time imaging.
Molinari, M
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Cox, SJ
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Molinari, M
cab4fd7b-f43c-43db-ad14-b9e9741e7f7b
Cox, SJ
0e62aaed-24ad-4a74-b996-f606e40e5c55

Molinari, M and Cox, SJ (2000) Poster: Fast Electrical Impedance Tomography for Non-Invasive Medical Imaging.

Record type: Conference or Workshop Item (Other)

Abstract

Non-linear Electrical Impedance Tomography (EIT) is a novel technique for non-invasive and cost-effective imaging of internal structures of the human body. EIT tries to reconstruct the differing electrical conductivities within the body from current injection and voltage measurements through skin electrodes. This method provides images which cannot be obtained by other imaging methods and is also much more harmless. The solution of this ill-posed Inverse Problem involves the inversion of a simplified set of Maxwell's Equations on the domain under investigation. This can be achieved efficiently with todays computer power when certain conditions are met. We have developed an algorithm, which reduces the number of finite elements required in the reconstruction process. This results in faster convergence of the solution at higher accuracy compared to conventionally applied techniques. We demonstrate how the gained speed-up in the image formation process enhances the potential use of EIT in medical real-time imaging.

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More information

Published date: November 2000
Additional Information: Conference: Young Physicists Conference YPC2000, Chester, 24-26 November 2000 Organisation: Institute of Physics, NEXUS branch
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 255757
URI: http://eprints.soton.ac.uk/id/eprint/255757
PURE UUID: d1334e5a-6dee-47c0-8a43-bfc88b1a6419

Catalogue record

Date deposited: 24 Apr 2001
Last modified: 10 Dec 2021 20:39

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Contributors

Author: M Molinari
Author: SJ Cox

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