Sensitivity analysis of the complete electrode model for electrical impedance tomography

Darbas, Marion; Heleine, Jérémy; Mendoza, Renier; Velasco, Arrianne Crystal

doi:10.3934/math.2021431

Cited by 11 publications

(10 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…12 It is considered preferable to reduce SCI to minimise the artefact and distortion of images. 15,19 Electrode size is an important parameter to ensure low SCI. Narrower electrodes have been shown to improve image resolution for changes that are occurring near the body surface close to the electrode, 20 but at depth, such as in the lung, this result cannot be applied.…”

Section: Introductionmentioning

confidence: 99%

“…The SCI has not been defined in animals and is likely much higher due to differing properties of the haired skin 12 . It is considered preferable to reduce SCI to minimise the artefact and distortion of images 15,19 …”

Section: Introductionmentioning

confidence: 99%

“…Narrower electrodes have been shown to improve image resolution for changes that are occurring near the body surface close to the electrode, 20 but at depth, such as in the lung, this result cannot be applied. Several mathematical papers have studied electrode models, but do not look at skin contact quality in vivo in detail 19,21–23 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance evaluation of electrode design and material for a large animal electrical impedance tomography belt

et al. 2022

View full text Add to dashboard Cite

Background: Electrical impedance tomography (EIT) produces lung ventilation images via a thoracic electrode belt. Robust electrode design and material, providing low electrode skin contact impedance (SCI), is needed in veterinary medicine. The aim of this study was to compare three EIT electrode designs and materials. Methods: Simulations of cylindrical, rectangular and spiked electrode designs were used to evaluate electrode SCI as a function of electrode size, where skin contact was uneven. Gold-plated washers (E GW ), zinc-plated rivets (E ZR ) and zinc-galvanised spikes (E ZS ) were assigned randomly on two interconnected EIT belts. Gel was applied to the cranial or caudal belt and placed on 17 standing cattle. SCI was recorded at baseline and 3, 5, 7, 9 and 11 minutes later. Results: Simulations that involved electrodes with a greater skin contact area had lower and more uniform SCI. In cattle, SCI decreased with all electrodes over time (p < 0.01). Without gel, no difference was found between E GW and E ZS , while SCI was higher for E ZR (p < 0.03). With gel, SCI was lower in E GW and E ZR (p < 0.026), with the SCI in E GW being the lowest (p < 0.01). Limitations: Low numbers of animals and static electrode position may affect SCI. Conclusions: Electrode design is important for EIT measurement, with larger electrode designs able to compensate for the use of less conductive materials. Gel is not necessary to achieve acceptable SCI in large animals.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance evaluation of electrode design and material for a large animal electrical impedance tomography belt

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The third case results in Figure 13 are characterized by overestimation of the air-related conductivity change near the chest. This occurs due to the presence of lung tissue very close to the chest boundary, as the EIT measurements are sensitive to conductivity changes near the boundary [ 62 ]. A visual comparison of the images in Figure 13 indicates that the PM-MoM SBL method has the best performance, an absence of “positive conductivity change” artefacts and less lung deformation.…”

Section: Results and Discussionmentioning

confidence: 99%

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

et al. 2021

View full text Add to dashboard Cite

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.

show abstract

“…The existence and uniqueness of the solution of the forward problem are proven in [95]. The discussion of the numerical solution and sensitivity analysis of the forward problem can be found in [96].…”

Section: Function Value Errormentioning

confidence: 99%

Philippine Eagle Optimization Algorithm

2022

View full text Add to dashboard Cite

We propose the Philippine Eagle Optimization Algorithm (PEOA), which is a meta-heuristic and population-based search algorithm inspired by the territorial hunting behavior of the Philippine Eagle. From an initial random population of eagles in a given search space, the best eagle is selected and undergoes a local food search using the interior point method as its means of exploitation. The population is then divided into three subpopulations, and each subpopulation is assigned an operator which aids in the exploration. Once the respective operators are applied, the new eagles with improved function values replace the older ones. The best eagle of the population is then updated and conducts a local food search again. These steps are done iteratively, and the food searched by the final best eagle is the optimal solution of the search space. PEOA is tested on 20 optimization test functions with different modality, separability, and dimension properties. The performance of PEOA is compared to 13 other optimization algorithms. To further validate the effectiveness of PEOA, it is also applied to image reconstruction in electrical impedance tomography and parameter identification in a neutral delay differential equation model. Numerical results show that PEOA can obtain accurate solutions to various functions and problems. PEOA proves to be the most computationally inexpensive algorithm relative to the others examined, while also helping promote the critically endangered Philippine Eagle.

show abstract

Sensitivity analysis of the complete electrode model for electrical impedance tomography

Cited by 11 publications

References 59 publications

Performance evaluation of electrode design and material for a large animal electrical impedance tomography belt

Performance evaluation of electrode design and material for a large animal electrical impedance tomography belt

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

Philippine Eagle Optimization Algorithm

Contact Info

Product

Resources

About