An Imaged Based Method for Universal Performance Evaluation of Electrical Impedance Tomography Systems

Wu, Yu; Jiang, Dai; Yerworth, Rebecca J.; Demosthenous, Andreas

doi:10.1109/tbcas.2021.3094773

Cited by 14 publications

(7 citation statements)

References 30 publications

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“…In order the assess the system performance, measured results were obtained using a resistive phantom [4]. Fig.…”

Section: Measured Resultsmentioning

confidence: 99%

“…No saturation is observed for electrodes close to the injection electrodes and in addition, the middle segments are significantly amplified to fit the range of the ADC. To assess the noise performance and its effect on the EIT image quality, a full reference (FR) method is used [4]. Low values of the FR metric indicate close matching with the reference image.…”

Section: Measured Resultsmentioning

confidence: 99%

See 1 more Smart Citation

High Frame Rate Electrical Impedance Tomography System for Monitoring of Regional Lung Ventilation

Rahal

Jiang

et al. 2022

2022 44th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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This paper describes the development of a compact high frame rate passive electrical impedance tomography system. The injected current amplitude and frequency can be adjusted to fit any EIT application. Measured results show that the system is capable of high frame rate of 89 fps and has power consumption of 1.7 W. It has automatic gain control that reduces noise and improves the quality of the measured EIT image. A comparison is made with other EIT systems to show the potential of the developed system.Clinical Relevance-The developed EIT system has application in the clinical assessment of neonatal and SARS-CoV-2 patients. In these applications, there is an urgent need for a low cost, bedside, non-invasive imaging system, to continuously monitor dynamic changes in regional lung ventilation.

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“…In order the assess the system performance, measured results were obtained using a resistive phantom [4]. Fig.…”

Section: Measured Resultsmentioning

confidence: 99%

Section: Measured Resultsmentioning

confidence: 99%

High Frame Rate Electrical Impedance Tomography System for Monitoring of Regional Lung Ventilation

Rahal

Jiang

et al. 2022

2022 44th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…This metric was recently proposed as a universal FoM for EIT systems’ evaluation on the reconstructed images [ 59 ]. It has been extensively presented and applied in phantom experimental setups.…”

Section: Evaluation Methodsmentioning

confidence: 99%

A Point-Matching Method of Moment with Sparse Bayesian Learning Applied and Evaluated in Dynamic Lung Electrical Impedance Tomography

et al. 2021

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Dynamic lung imaging is a major application of Electrical Impedance Tomography (EIT) due to EIT’s exceptional temporal resolution, low cost and absence of radiation. EIT however lacks in spatial resolution and the image reconstruction is very sensitive to mismatches between the actual object’s and the reconstruction domain’s geometries, as well as to the signal noise. The non-linear nature of the reconstruction problem may also be a concern, since the lungs’ significant conductivity changes due to inhalation and exhalation. In this paper, a recently introduced method of moment is combined with a sparse Bayesian learning approach to address the non-linearity issue, provide robustness to the reconstruction problem and reduce image artefacts. To evaluate the proposed methodology, we construct three CT-based time-variant 3D thoracic structures including the basic thoracic tissues and considering 5 different breath states from end-expiration to end-inspiration. The Graz consensus reconstruction algorithm for EIT (GREIT), the correlation coefficient (CC), the root mean square error (RMSE) and the full-reference (FR) metrics are applied for the image quality assessment. Qualitative and quantitative comparison with traditional and more advanced reconstruction techniques reveals that the proposed method shows improved performance in the majority of cases and metrics. Finally, the approach is applied to single-breath online in-vivo data to qualitatively verify its applicability.

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“…Figure 1 shows a sensor array equipped with 16 electrodes. In this study, adjacent injection and adjacent measurement schemes are adopted 28 . Under this data acquisition mode, there are 104 independent boundary voltages that can be obtained.…”

Section: Forward Problem Of Eitmentioning

confidence: 99%

Image reconstruction based on a modified bird swarm optimization algorithm for electrical impedance tomography

Shi

Yuhang

Wang

et al. 2023

Int J Imaging Syst Tech

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Electrical impedance tomography (EIT) is a potential and promising tomographic technique. It is known that image reconstruction of EIT is mathematically an ill-posed inverse problem that leads to poor reconstruction quality. To improve the quality of reconstructed images, a novel image reconstruction method based on modified bird swarm optimization algorithm is proposed in this paper. An image of conductivity distribution acquired by Newton's onestep error reconstruction algorithm performs as initial population. Then a modified bird swarm optimization algorithm is proposed to optimize the initial conductivity distribution. By introducing a dynamic inertia weight parameter, flight interval of the bird swarm varies with the number of iterations. With the proposed method, a strong global search capability in the initial stage and a strong local search capability in the later stage are ensured during the optimization. To verify the effectiveness of the proposed method, simulation work and experimental validation are carried out. Also, reconstructed images are compared with the results obtained by iterative Landweber method and Newton-Raphson method. Meanwhile, the impact of noise on the reconstruction is investigated. The simulation and experimental results have demonstrated the superior performance of the proposed method in visualizing conductivity distribution.

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An Imaged Based Method for Universal Performance Evaluation of Electrical Impedance Tomography Systems

Cited by 14 publications

References 30 publications

High Frame Rate Electrical Impedance Tomography System for Monitoring of Regional Lung Ventilation

High Frame Rate Electrical Impedance Tomography System for Monitoring of Regional Lung Ventilation

A Point-Matching Method of Moment with Sparse Bayesian Learning Applied and Evaluated in Dynamic Lung Electrical Impedance Tomography

Image reconstruction based on a modified bird swarm optimization algorithm for electrical impedance tomography

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