The University of Southampton
University of Southampton Institutional Repository

High fidelity imaging and high performance computing in nonlinear EIT

High fidelity imaging and high performance computing in nonlinear EIT
High fidelity imaging and high performance computing in nonlinear EIT
We show that nonlinear EIT provides images with well defined characteristics when smoothness of the image is used as a constraint in the reconstruction process. We use the gradient of the logarithm of resistivity as an effective measure of image smoothness, which has the advantage that resistivity and conductivity are treated with equal weight. We suggest that a measure of the fidelity of the image to the object requires the explicit definition and application of such a constraint. The algorithm is applied to the simulation of intra-ventricular haemorrhaging (IVH) in a simple head model. The results indicate that a 5% increase in the blood content of the ventricles would be easily detectable with the noise performance of contemporary instrumentation. The possible implementation of the algorithm in real time via high performance computing is discussed.
nonlinear electrical impedance tomography, intraventricular haemorrhaging, parallel computing, inverse problem constraints
0967-3334
7-13
B H Blott, B H
eb1d0d9c-5abc-4024-9c05-550820819f1e
Cox, S J
3864b33b-6961-4e92-a5e0-5d5160e3555b
Daniell, G J
36dd7055-af34-48c7-88a3-f2e5f633d52c
Caton, M J
dc55a3e8-88e1-49bc-967a-3fd11aa62a79
Nicole, D A
a66d44ce-dd18-4c71-8cf4-2aeb0c122527
B H Blott, B H
eb1d0d9c-5abc-4024-9c05-550820819f1e
Cox, S J
3864b33b-6961-4e92-a5e0-5d5160e3555b
Daniell, G J
36dd7055-af34-48c7-88a3-f2e5f633d52c
Caton, M J
dc55a3e8-88e1-49bc-967a-3fd11aa62a79
Nicole, D A
a66d44ce-dd18-4c71-8cf4-2aeb0c122527

B H Blott, B H, Cox, S J, Daniell, G J, Caton, M J and Nicole, D A (2000) High fidelity imaging and high performance computing in nonlinear EIT. Physiological Measurement, 21 (1), 7-13.

Record type: Article

Abstract

We show that nonlinear EIT provides images with well defined characteristics when smoothness of the image is used as a constraint in the reconstruction process. We use the gradient of the logarithm of resistivity as an effective measure of image smoothness, which has the advantage that resistivity and conductivity are treated with equal weight. We suggest that a measure of the fidelity of the image to the object requires the explicit definition and application of such a constraint. The algorithm is applied to the simulation of intra-ventricular haemorrhaging (IVH) in a simple head model. The results indicate that a 5% increase in the blood content of the ventricles would be easily detectable with the noise performance of contemporary instrumentation. The possible implementation of the algorithm in real time via high performance computing is discussed.

Text
pm0102.pdf - Other
Download (155kB)

More information

Published date: 2000
Keywords: nonlinear electrical impedance tomography, intraventricular haemorrhaging, parallel computing, inverse problem constraints
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 263808
URI: http://eprints.soton.ac.uk/id/eprint/263808
ISSN: 0967-3334
PURE UUID: e57743fd-9ab0-4e9f-afbf-e39fe1db4eb2

Catalogue record

Date deposited: 29 Mar 2007
Last modified: 16 Dec 2019 20:43

Export record

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.

×