The University of Southampton
University of Southampton Institutional Repository

Efficient non-linear 3D electrical tomography reconstruction

Record type: Conference or Workshop Item (Paper)

Non-linear electrical tomography imaging can be performed efficiently if certain optimisations are applied to the computational reconstruction process. We present a 3D non-linear reconstruction algorithm based on a regularized conjugate gradient solver and discuss the optimisations which we incorporated to allow for an efficient and accurate reconstruction. In particular, the application of image smoothness constraints or other regularization techniques and auto-adaptive mesh refinement are highly relevant. We demonstrate the results of applying this algorithm to the reconstruction of a simulated material distribution in a cubic volume.

PDF molinari_Eff3DEIT_wcipt_2001_p424-432.pdf - Accepted Manuscript
Download (110kB)

Citation

Molinari, M., Cox, S.J., Blott, B.H. and Daniell, G.J. (2001) Efficient non-linear 3D electrical tomography reconstruction At 2nd World Congress on Industrial Process Tomography. 29 - 31 Aug 2001. , pp. 424-432.

More information

Published date: August 2001
Venue - Dates: 2nd World Congress on Industrial Process Tomography, 2001-08-29 - 2001-08-31
Keywords: 3D non-linear electrical impedance tomography, optimised reconstruction algorithm, increased spatial resolution, parallel computing

Identifiers

Local EPrints ID: 21946
URI: http://eprints.soton.ac.uk/id/eprint/21946
ISBN: 0853162247
PURE UUID: 44f56292-ca79-4ecc-8207-f560585291f7

Catalogue record

Date deposited: 20 Mar 2006
Last modified: 17 Jul 2017 16:24

Export record

Contributors

Author: M. Molinari
Author: S.J. Cox
Author: B.H. Blott
Author: G.J. Daniell

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.

×