Comparison of the Newton-Raphson and the spectral expansion impedance tomography reconstruction algorithms

1996 ◽  
Vol 32 (3) ◽  
pp. 1286-1289 ◽  
Author(s):  
D. Vadasz ◽  
H. Sebestyen
Keyword(s):  
Spectral Expansion ◽  
Reconstruction Algorithms ◽  
Impedance Tomography ◽  
Tomography Reconstruction ◽  
Newton Raphson

Implementation of electrical impedance tomography for analysis of building moisture conditions

2018 ◽  
Vol 37 (5) ◽  
pp. 1837-1861 ◽  
Author(s):  
Tomasz Rymarczyk ◽  
Jan Sikora ◽  
Paweł Tchórzewski
Keyword(s):  
Distribution Pattern ◽  
Evaluation Study ◽  
Moisture Distribution ◽  
Historical Buildings ◽  
Reconstruction Algorithms ◽  
Electrical Tomography ◽  
Impedance Tomography ◽  
Measuring Device ◽  
Content Type ◽  
The Impact

Purpose The paper aims to present an innovative solution for evaluation study of the dampness level of walls and historical buildings. Design/methodology/approach Electrical tomography enables one to obtain a distribution pattern of wall dampness. The application of modern tomographic techniques in conjunction with topological algorithms will allow one to perform very accurate spatial assessment of the dampness levels of buildings. The proposed application uses the total variation, Gauss–Newton and level set method to solve the inverse problem in electrical tomography. Findings Research shows that electrical tomography can provide effective results in damp buildings. This method can provide 2D/3D moisture distribution pattern. Research limitations/implications The impact of this technique will be limited to inspection of the facility after floods or assessment of historical buildings. Practical implications The presented method could eventually lead to a much more effective evaluation of moisture in the walls. Social implications The solution has commercial potential and could result in more cost-effective monitoring of historical buildings, which have an economic impact on society. Originality/value The authors propose a system for imaging spatial moistness of walls and historic buildings based on electrical tomography and consisting of a measuring device, sensors and image reconstruction algorithms.

scholarly journals A MATLAB-Based Boundary Data Simulator for Studying the Resistivity Reconstruction Using Neighbouring Current Pattern

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Tushar Kanti Bera ◽  
J. Nagaraju
Keyword(s):  
Electrical Impedance Tomography ◽  
Boundary Data ◽  
Electrical Impedance ◽  
Optical Tomography ◽  
Current Pattern ◽  
Impedance Tomography ◽  
Reconstruction Software ◽  
Tomography Reconstruction ◽  
Input Variables ◽  
Solver Performance

Phantoms are essentially required to generate boundary data for studying the inverse solver performance in electrical impedance tomography (EIT). A MATLAB-based boundary data simulator (BDS) is developed to generate accurate boundary data using neighbouring current pattern for assessing the EIT inverse solvers. Domain diameter, inhomogeneity number, inhomogeneity geometry (shape, size, and position), background conductivity, and inhomogeneity conductivity are all set as BDS input variables. Different sets of boundary data are generated by changing the input variables of the BDS, and resistivity images are reconstructed using electrical impedance tomography and diffuse optical tomography reconstruction software (EIDORS). Results show that the BDS generates accurate boundary data for different types of single or multiple objects which are efficient enough to reconstruct the resistivity images for assessing the inverse solver. It is noticed that for the BDS with 2048 elements, the boundary data for all inhomogeneities with a diameter larger than 13.3% of that of the phantom are accurate enough to reconstruct the resistivity images in EIDORS-2D. By comparing the reconstructed image with an original geometry made in BDS, it would be easier to study the inverse solver performance and the origin of the boundary data error can be identified.

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