Jehl, M;
Holder, D;
(2016)
Correction of electrode modelling errors in multi-frequency EIT imaging.
Physiological Measurement
, 37
(6)
pp. 893-903.
10.1088/0967-3334/37/6/893.
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Abstract
The differentiation of haemorrhagic from ischaemic stroke using electrical impedance tomography (EIT) requires measurements at multiple frequencies, since the general lack of healthy measurements on the same patient excludes time-difference imaging methods. It has previously been shown that the inaccurate modelling of electrodes constitutes one of the largest sources of image artefacts in non-linear multi-frequency EIT applications. To address this issue, we augmented the conductivity Jacobian matrix with a Jacobian matrix with respect to electrode movement. Using this new algorithm, simulated ischaemic and haemorrhagic strokes in a realistic head model were reconstructed for varying degrees of electrode position errors. The simultaneous recovery of conductivity spectra and electrode positions removed most artefacts caused by inaccurately modelled electrodes. Reconstructions were stable for electrode position errors of up to 1.5 mm standard deviation along both surface dimensions. We conclude that this method can be used for electrode model correction in multi-frequency EIT.
| Type: | Article |
|---|---|
| Title: | Correction of electrode modelling errors in multi-frequency EIT imaging |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1088/0967-3334/37/6/893 |
| Publisher version: | http://dx.doi.org/10.1088/0967-3334/37/6/893 |
| Language: | English |
| Additional information: | Copyright © 2016 Institute of Physics and Engineering in Medicine. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (CC BY 3.0) (https://creativecommons.org/licenses/by/3.0/). 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, stroke type detection, multi-frequency image reconstruction, electrode model correction |
| 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 |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1502568 |
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