A Feasibility Study for Imaging Tissue Electroporation With Electrical Impedance Tomography

2002 ◽  
Author(s):  
Rafael V. Davalos ◽  
David M. Otten ◽  
Lluis M. Mir ◽  
Boris Rubinsky
Keyword(s):  
Cell Membrane ◽  
Electrical Impedance ◽  
Individual Cell ◽  
Pulse Number ◽  
Impedance Tomography ◽  
Tissue Electroporation ◽  
Electrical Pulses ◽  
Number Frequency ◽  
The Individual ◽  
Voltage Gradients

In tissue electroporation, electrodes are inserted around the targeted tissue and electrical pulses are applied to permeabilize the cell membrane to macromolecules such as gene constructs in genetic engineering or cancer treatment drugs [1, 2]. For a specific set of voltage parameters (e.g. pulse number, frequency, duration), the effect that the electric field has depends on the voltage gradients that develop across the individual cell [2].

scholarly journals Measurement-Based Domain Parameter Optimization in Electrical Impedance Tomography Imaging

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2507
Author(s):  
Jan Dusek ◽  
Jan Mikulka
Keyword(s):  
Image Reconstruction ◽  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Physical Models ◽  
Optimization Process ◽  
Shape Deformation ◽  
Impedance Tomography ◽  
Reconstruction Process ◽  
The Individual ◽  
The Impact

This paper discusses the optimization of domain parameters in electrical impedance tomography-based imaging. Precise image reconstruction requires accurate, well-correlated physical and numerical finite element method (FEM) models; thus, we employed the Nelder–Mead algorithm and a complete electrode model to evaluate the individual parameters, including the initial conductivity, electrode misplacement, and shape deformation. The optimization process was designed to calculate the parameters of the numerical model before the image reconstruction. The models were verified via simulation and experimental measurement with single source current patterns. The impact of the optimization on the above parameters was reflected in the applied image reconstruction process, where the conductivity error dropped by 6.16% and 11.58% in adjacent and opposite driving, respectively. In the shape deformation, the inhomogeneity area ratio increased by 11.0% and 48.9%; the imprecise placement of the 6th electrode was successfully optimized with adjacent driving; the conductivity error dropped by 12.69%; and the inhomogeneity localization exhibited a rise of 66.7%. The opposite driving option produces undesired duality resulting from the measurement pattern. The designed optimization process proved to be suitable for correlating the numerical and the physical models, and it also enabled us to eliminate imaging uncertainties and artifacts.

scholarly journals Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3324
Author(s):  
Grzegorz Kłosowski ◽  
Tomasz Rymarczyk ◽  
Tomasz Cieplak ◽  
Konrad Niderla ◽  
Łukasz Skowron
Keyword(s):  
Electrical Impedance ◽  
Ultrasonic Tomography ◽  
Tomographic Image ◽  
Impedance Tomography ◽  
Multiple Neural Networks ◽  
Percent Concentration ◽  
Measurement Vector ◽  
Artificial Neural Network Ann ◽  
The Individual ◽  
Made In

The paper presents the results of research on the hybrid industrial tomograph electrical impedance tomography (EIT) and ultrasonic tomography (UST) (EIT-UST), operating on the basis of electrical and ultrasonic data. The emphasis of the research was placed on the algorithmic domain. However, it should be emphasized that all hardware components of the hybrid tomograph, including electronics, sensors and transducers, have been designed and mostly made in the Netrix S.A. laboratory. The test object was a tank filled with water with several dozen percent concentration. As part of the study, the original multiple neural networks system was trained, the characteristic feature of which is the generation of each of the individual pixels of the tomographic image, using an independent artificial neural network (ANN), with the input vector for all ANNs being the same. Despite the same measurement vector, each of the ANNs generates its own independent output value for a given tomogram pixel, because, during training, the networks get their respective weights and biases. During the tests, the results of three tomographic methods were compared: EIT, UST and EIT-UST hybrid. The results confirm that the use of heterogeneous tomographic systems (hybrids) increases the reliability of reconstruction in various measuring cases, which is used to solve quality problems in managing production processes.

CALIBRATION OF A LOW COST ELECTRICAL IMPEDANCE TOMOGRAPHY SYSTEM WITH A RING OF RESISTORS AND A KCL SOLUTION

2019 ◽  
Author(s):  
Bruno Furtado de Moura ◽  
francisco sepulveda ◽  
Jorge Luis Jorge Acevedo ◽  
Wellington Betencurte da Silva ◽  
Rogerio Ramos ◽  
...  
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Low Cost ◽  
Impedance Tomography ◽  
Tomography System
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