The University of Southampton
University of Southampton Institutional Repository

Efficient non-linear 3D electrical tomography and finite element optimizations for functional source imaging

Molinari, Marc, Cox, Simon J., Blott, Barry H. and Daniell, Geoffrey J., Fischer, G. and Roithinger, F.X.(eds.) (2001) Efficient non-linear 3D electrical tomography and finite element optimizations for functional source imaging Biomedizinische Technik / Biomedical Engineering, 46, (E2), pp. 130-131.

Record type: Article

Abstract

An essential factor in functional source imaging is the accurate knowledge of the conducitvity dostribution inside the body. Current models for electrophysiological forward and inverse problems use tabulated conductivity values obtained from experiments. This article shows how EIT-derived conductivities can be used in EEG reconstructions of a head slice.

PDF molinari_FEnEIT4FSI_nfsi_2001.pdf - Other
Download (137kB)

More information

Published date: September 2001
Keywords: electrical impedance tomography, functional source imaging

Identifiers

Local EPrints ID: 35372
URI: http://eprints.soton.ac.uk/id/eprint/35372
ISSN: 0939-4990
PURE UUID: cf8d1958-6022-4815-993e-62760ab1c3f0

Catalogue record

Date deposited: 15 May 2006
Last modified: 18 Aug 2017 16:32

Export record

Contributors

Author: Marc Molinari
Author: Simon J. Cox
Author: Barry H. Blott
Author: Geoffrey J. Daniell
Editor: G. Fischer
Editor: F.X. Roithinger

University divisions

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.

×