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Correcting electrode modelling errors in EIT on realistic 3D head models

Jehl, M; Avery, J; Malone, E; Holder, D; Betcke, T; (2015) Correcting electrode modelling errors in EIT on realistic 3D head models. Physiological Measurement , 36 (12) p. 2423. 10.1088/0967-3334/36/12/2423. Green open access

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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.

Type: Article
Title: Correcting electrode modelling errors in EIT on realistic 3D head models
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/0967-3334/36/12/2423
Publisher version: http://dx.doi.org/10.1088/0967-3334/36/12/2423
Language: English
Additional information: © 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.
Keywords: electrical impedance tomography, image reconstruction, electrode error correction, modelling errors
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1472026
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