The University of Southampton
University of Southampton Institutional Repository

Efficient Non-Linear Electrical Impedance Tomography

Efficient Non-Linear Electrical Impedance Tomography
Efficient Non-Linear Electrical Impedance Tomography
We demonstrate the application of several optimisation techniques to a 2D Electrical Impedance Tomography reconstruction algorithm. In particular, we discuss a bubble meshing technique for producing high quality finite element meshes. We address the 3D meshing problem and present the extension of our algorithm to three dimensions.
Molinari, M
cab4fd7b-f43c-43db-ad14-b9e9741e7f7b
Cox, SJ
0e62aaed-24ad-4a74-b996-f606e40e5c55
Daniell, GJ
2a090f76-3b24-4eb0-9577-7c17aa0e3b51
Blott, BH
3fea5565-06b2-4a99-afe0-a85f9a96f8ba
Molinari, M
cab4fd7b-f43c-43db-ad14-b9e9741e7f7b
Cox, SJ
0e62aaed-24ad-4a74-b996-f606e40e5c55
Daniell, GJ
2a090f76-3b24-4eb0-9577-7c17aa0e3b51
Blott, BH
3fea5565-06b2-4a99-afe0-a85f9a96f8ba

Molinari, M, Cox, SJ, Daniell, GJ and Blott, BH (2000) Efficient Non-Linear Electrical Impedance Tomography.

Record type: Other

Abstract

We demonstrate the application of several optimisation techniques to a 2D Electrical Impedance Tomography reconstruction algorithm. In particular, we discuss a bubble meshing technique for producing high quality finite element meshes. We address the 3D meshing problem and present the extension of our algorithm to three dimensions.

This record has no associated files available for download.

More information

Published date: May 2000
Additional Information: Work accepted for poster presentation at the 6th Annual Conference of the Institute of Physics & Engineering in Medicine, 11-18 Sept.2000, Southampton. Work remained unpublished. Organisation: IPEM
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 255754
URI: http://eprints.soton.ac.uk/id/eprint/255754
PURE UUID: 098d5c38-9bb3-4735-b8c6-6e9d1199eaa0

Catalogue record

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

Export record

Contributors

Author: M Molinari
Author: SJ Cox
Author: GJ Daniell
Author: BH Blott

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×