An element-free Galerkin forward solver for the complete-electrode model in electrical impedance tomography

Hadinia, Maedeh; Jafari, Reza

doi:10.1016/j.flowmeasinst.2015.04.011

Cited by 8 publications

(2 citation statements)

References 30 publications

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“…This technique a promising option in joint monitoring as well as using low cost devices when compared to MRI and CT equipment. It is worth mentioning that the image reconstruction algorithms are part of an important field of research interest related to EIT, with EIDORS being the tool on which most of the works focused on this area of research have been based [74]- [76].…”

Section: Ingeniería Solidariamentioning

confidence: 99%

Tomography for electrical impedance

Sánchez¹,

Leyton²

2020

ing. Solidar

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Introduction:This review article shows the state of the art of different techniques for monitoring joint injuries. This work is the product of the research project "Viability of electrical impedance tomography for the monitoring of joint injuries", which took place at the University of Cauca during the period 2018-2019. Aim:Identify non-invasive bio-image methods that are used in the evaluation of joint diseases. Methodology: Selection and review of papers related to the evaluation of joint injuries using non-invasive bio-image technologies using systematic mapping. Results: Magnetic resonance and computed tomography systems make up the non-invasive methods of greater reliability and application in the evaluation of joint injuries. Similarly, some studies show good results from other methods such as systems based on bio-impedance when monitoring the deterioration of joint cartilage. However, electrical impedance tomography (EIT) devices have not yet been widely studied in the joint injuries evaluation. Conclusion: Electronic prototypes of low-cost electrical impedance tomography have been developed that have allowed for the detection and recognition of gestures made by hand from the analysis of the distribution of conductivity in the wrist joint, which allows us to infer that EIT could be a good alternative for the monitoring of joint injuries. Originality: The literature does not show studies focused on the development and implementation of EIT systems in medical applications related to joint injuries. Limitations: This review paper only mentions those studies that describe the non-invasive bio-image methods used to evaluate joint diseases, including the medical applications of EIT systems.

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Section: Ingeniería Solidariamentioning

confidence: 99%

Tomography for electrical impedance

Sánchez¹,

Leyton²

2020

ing. Solidar

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“…The authors in [35] have supposed the shape and size of inclusion in the inverse problem are known and the location of the center of the inclusion has just been estimated by Genetic Algorithm which is a timeconsuming algorithm. In [36], the EFGM is used for solving the forward problem in APT/EIT with the complete electrode model (CEM). In [37], image reconstruction in the APT/EIT based on a hybrid forward approach using FEM and EFGM and the CEM is achieved.…”

Section: Introductionmentioning

confidence: 99%

Improvement of performance and sensitivity of 2D and 3D image reconstruction in EIT using EFG forward model

Hadinia¹,

Jafari²

2022

Biomed. Phys. Eng. Express

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This paper presents a pure element-free Galerkin method (EFGM) forward model for image reconstruction in 2D and 3D electrical impedance tomography (EIT) using an adaptive current injection method. In EIT systems with the adapting current injection method, both static and dynamic images can be reconstructed; however, determination of electrode contact impedances in the complete electrode model is difficult and the Gap model is used. In this paper, in the EIT forward problem a weak form functional based on the Gap model and a pure EFGM approach are developed, and in the EIT inverse problem, Jacobian matrix is computed by the EFGM, and a fast integration technique is introduced to calculate the entries of the Jacobian matrix within an adequate computation time. The influence of increasing the density of nodes at and near the electrodes with steep electric potential gradients on the accuracy of FEM and EFGM forward solutions is investigated, and the performance of the image reconstruction algorithm with the proposed fast integration technique is examined. The numerical results reveal that the proposed EFGM forward model with the fast integration technique has an efficient performance both in terms of mean relative imaging errors and computational time.

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Inverse Problem of 2D Lung Electrical Impedance Tomography

Idaamar,

Louzar

2024

Studies in Computational Intelligence

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An element-free Galerkin forward solver for the complete-electrode model in electrical impedance tomography

Cited by 8 publications

References 30 publications

Tomography for electrical impedance

Tomography for electrical impedance

Improvement of performance and sensitivity of 2D and 3D image reconstruction in EIT using EFG forward model

Inverse Problem of 2D Lung Electrical Impedance Tomography

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