Existence and Uniqueness for Electrode Models for Electric Current Computed Tomography

Somersalo, Erkki; Cheney, Margaret; Isaacson, David

doi:10.1137/0152060

Cited by 772 publications

(886 citation statements)

References 4 publications

Supporting

Mentioning

848

Contrasting

Unclassified

Order By: Relevance

“…that models the metal electrode, conductive gel and chemical interaction at the skinelectrode interface (Cheng et al 1989, Somersalo et al 1992). The FEM is used in the numerical solution of EIT images.…”

Section: Introductionmentioning

confidence: 99%

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

Boyle

Adler²

2011

Physiol. Meas.

View full text Add to dashboard Cite

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 (FEM) simulations and the Complete Electrode Model (CEM). The effect of conformal deformations on image reconstruction when using the CEM was of specific interest. Observed artifacts were quantified using a measure that compared an ideal image to the reconstructed image, in this case a nonoise reconstruction that isolated the electrodes' effects. For electrode contact impedance and electrode area, uniform reductions to all electrodes resulted in ringing artifacts in the reconstructed images when the CEM was used, while parameter variations that were not correlated amongst electrodes resulted in artifacts 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 artifacts in the reconstructed image.

show abstract

Section: Introductionmentioning

confidence: 99%

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

Boyle

Adler²

2011

Physiol. Meas.

View full text Add to dashboard Cite

show abstract

“…We initialize the procedure with a coarse mesh and with the configuration of electrodes used. For reasons of simplicity we assume point-sized electrodes; however, the method works equally well for the complete electrode model (Somersalo et al 1992). For each step in the forward solution of the EIT reconstruction, we estimate the local error using (3) and compute the global error using (4).…”

Section: Methodsmentioning

confidence: 99%

Adaptive mesh refinement techniques for electrical impedance tomography

et al. 2001

View full text Add to dashboard Cite

Adaptive mesh refinement techniques can be applied to increase the efficiency of electrical impedance tomography reconstruction algorithms by reducing computational and storage cost as well as providing problem-dependent solution structures. A self-adaptive refinement algorithm based on an a posteriori error estimate has been developed and its results are shown in comparison with uniform mesh refinement for a simple head model.

show abstract

“…For medical applications, as well as industrial applications where conductive electrodes are in contact with an aqueous solution, the Complete Electrode Model must be employed for accurate prediction of the electrode voltages [65]. This takes account of both the shunting effect of the conducting electrodes and the contact impedance layer between the electrode and the solution (see (9) below).…”

Section: Custom Versus Commercial Fem Codementioning

confidence: 99%

EIT reconstruction algorithms: pitfalls, challenges and recent developments

2004

View full text Add to dashboard Cite

Abstract. We review developments, issues and challenges in Electrical Impedance Tomography (EIT), for the 4th Conference on Biomedical Applications of EIT, Manchester 2003. We focus on the necessity for three dimensional data collection and reconstruction, efficient solution of the forward problem and present and future reconstruction algorithms. We also suggest common pitfalls or "inverse crimes" to avoid.

show abstract

Existence and Uniqueness for Electrode Models for Electric Current Computed Tomography

Cited by 772 publications

References 4 publications

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

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

Adaptive mesh refinement techniques for electrical impedance tomography

EIT reconstruction algorithms: pitfalls, challenges and recent developments

Contact Info

Product

Resources

About