Literature DB >> 21646710

The impact of electrode area, contact impedance and boundary shape on EIT images.

Alistair Boyle1, Andy Adler.   

Abstract

Electrical impedance tomography (EIT) measures the conductivity distribution within an object based on the current applied and voltage measured at surface electrodes. Thus, EIT images are sensitive to electrode properties (i.e. contact impedance, electrode area and boundary shape under the electrode). While some of these electrode properties have been investigated individually, this paper investigates these properties and their interaction using finite element method simulations and the complete electrode model (CEM). The effect of conformal deformations on image reconstruction when using the CEM was of specific interest. Observed artefacts were quantified using a measure that compared an ideal image to the reconstructed image, in this case a no-noise reconstruction that isolated the electrodes' effects. For electrode contact impedance and electrode area, uniform reductions to all electrodes resulted in ringing artefacts in the reconstructed images when the CEM was used, while parameter variations that were not correlated amongst electrodes resulted in artefacts distributed throughout the image. When the boundary shape changed under the electrode, as with non-symmetric conformal deformations, using the CEM resulted in structured distortions within the reconstructed image. Mean electrode contact impedance increases, independent of inter-electrode variation, did not result in artefacts in the reconstructed image.

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Year:  2011        PMID: 21646710     DOI: 10.1088/0967-3334/32/7/S02

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  5 in total

1.  The Frequency Spectral Properties of Electrode-Skin Contact Impedance on Human Head and Its Frequency-Dependent Effects on Frequency-Difference EIT in Stroke Detection from 10Hz to 1MHz.

Authors:  Lin Yang; Meng Dai; Canhua Xu; Ge Zhang; Weichen Li; Feng Fu; Xuetao Shi; Xiuzhen Dong
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

2.  Fast detection and data compensation for electrodes disconnection in long-term monitoring of dynamic brain electrical impedance tomography.

Authors:  Ge Zhang; Meng Dai; Lin Yang; Weichen Li; Haoting Li; Canhua Xu; Xuetao Shi; Xiuzhen Dong; Feng Fu
Journal:  Biomed Eng Online       Date:  2017-01-07       Impact factor: 2.819

3.  An on-line processing strategy for head movement interferences removal of dynamic brain electrical impedance tomography based on wavelet decomposition.

Authors:  Ge Zhang; Weichen Li; Hang Ma; Xuechao Liu; Meng Dai; Canhua Xu; Haoting Li; Xiuzhen Dong; Xingwang Sun; Feng Fu
Journal:  Biomed Eng Online       Date:  2019-05-09       Impact factor: 2.819

4.  Freezing resistance evaluation of rose stems during frost dehardening using electrical impedance tomography.

Authors:  Juan Zhou; Ruijuan Gong; Ji Qian; Yang Liu; Gang Zhang
Journal:  BMC Plant Biol       Date:  2021-04-26       Impact factor: 4.215

5.  Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study.

Authors:  Lin Yang; Chao Zhang; Wenbo Liu; Hang Wang; Junying Xia; Benyuan Liu; Xuetao Shi; Xiuzhen Dong; Feng Fu; Meng Dai
Journal:  Biomed Res Int       Date:  2020-02-27       Impact factor: 3.411

  5 in total

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