Correcting electrode modelling errors in EIT on realistic 3D head models
File(s)
Published version
Author(s)
Jehl, Markus
Avery, James
Malone, Emma
Holder, David
Betcke, Timo
Type
Journal Article
Abstract
Electrical impedance tomography (EIT) is a promising medical imaging technique which could aid differentiation of haemorrhagic from ischaemic stroke in an ambulance. One challenge in EIT is the ill-posed nature of the image reconstruction, i.e. that small measurement or modelling errors can result in large image artefacts. It is therefore important that reconstruction algorithms are improved with regard to stability to modelling errors. We identify that wrongly modelled electrode positions constitute one of the biggest sources of image artefacts in head EIT. Therefore, the use of the Fréchet derivative on the electrode boundaries in a realistic three-dimensional head model is investigated, in order to reconstruct electrode movements simultaneously to conductivity changes. We show a fast implementation and analyse the performance of electrode position reconstructions in time-difference and absolute imaging for simulated and experimental voltages. Reconstructing the electrode positions and conductivities simultaneously increased the image quality significantly in the presence of electrode movement.
Date Issued
2015-12-01
Date Acceptance
2015-09-17
Citation
Physiological Measurement, 2015, 36 (12), pp.2423-2442
ISSN
0967-3334
Publisher
IOP Publishing
Start Page
2423
End Page
2442
Journal / Book Title
Physiological Measurement
Volume
36
Issue
12
Copyright Statement
© 2015 Institute of Physics and Engineering in Medicine. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
License URL
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000374841100005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Technology
Biophysics
Engineering, Biomedical
Physiology
Engineering
electrical impedance tomography
image reconstruction
electrode error correction
modelling errors
ELECTRICAL-IMPEDANCE TOMOGRAPHY
RECONSTRUCTION
Publication Status
Published
Date Publish Online
2015-10-26