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

Poster: Efficient Electrical Impedance Tomography for Non-Invasive Medical Imaging
Poster: Efficient 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, which makes it an optimal candidate for medical applications. The basic principles of EIT can be derived from Maxwell's Equations. These need to be solved numerically within the object under investigation using, for example, a finite element mesh. To solve the ill-conditioned inverse problem on this finite discretization, additional constraints have to be applied. In addition, the speed of reconstruction plays an important role and limits number and size of the used elements. The developed self-adaptive mesh refinement algorithm reduces - based on an a posteriori energy error estimate - the number of elements required for an accurate solution compared to conventional uniform meshing techniques. 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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Molinari, M
cab4fd7b-f43c-43db-ad14-b9e9741e7f7b

Molinari, M (2000) Poster: Efficient 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, which makes it an optimal candidate for medical applications. The basic principles of EIT can be derived from Maxwell's Equations. These need to be solved numerically within the object under investigation using, for example, a finite element mesh. To solve the ill-conditioned inverse problem on this finite discretization, additional constraints have to be applied. In addition, the speed of reconstruction plays an important role and limits number and size of the used elements. The developed self-adaptive mesh refinement algorithm reduces - based on an a posteriori energy error estimate - the number of elements required for an accurate solution compared to conventional uniform meshing techniques. 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: July 2000
Additional Information: Conference: Highlights of Physics Research and R&D in 2000 by Younger Phycisists, 14 July 2000, University of Leicester, in association with the 31st International Physics Olympiad. Organisation: International Physics Olympiad (IPO) & Dr Eric Wharton
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 255756
URI: http://eprints.soton.ac.uk/id/eprint/255756
PURE UUID: d5c915cc-c4ca-4d65-80b9-7e75679033e0

Catalogue record

Date deposited: 26 Feb 2002
Last modified: 10 Dec 2021 20:39

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Contributors

Author: M Molinari

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