scholarly journals The Influence of Multi-frequency Current Injection in Image Reconstruction for Two-Dimensional High-Speed Electrical Impedance Tomography (EIT)

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Aris Widodo ◽  
Agus Rubiyanto ◽  
Endarko Endarko
Keyword(s):  
Image Reconstruction ◽  
Electrical Impedance Tomography ◽  
High Speed ◽  
Electrical Impedance ◽  
Current Injection ◽  
Two Dimensional ◽  
Impedance Tomography ◽  
Frequency Current

Applying the logistic regression in electrical impedance tomography to analyze conductivity of the examined objects

2020 ◽  
pp. 1-18
Author(s):  
Tomasz Rymarczyk ◽  
Edward Kozłowski ◽  
Paweł Tchórzewski ◽  
Grzegorz Kłosowski ◽  
Przemysław Adamkiewicz
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Image Reconstruction ◽  
Electrical Impedance Tomography ◽  
Spatial Data ◽  
High Speed ◽  
Electrical Impedance ◽  
Numerical Models ◽  
Impedance Tomography ◽  
Input Variables

The article presents machine learning methods in the field of reconstruction of tomographic images. The presented research results show that electric tomography makes it possible to analyze objects without interfering with them. The work focused mainly on electrical impedance tomography and image reconstruction using deterministic methods and machine learning, reconstruction results were compared and various numerical models were used. The main advantage of the presented solution is the ability to analyze spatial data and high speed of processing. The implemented algorithm based on logistic regression is promising in image reconstruction. In addition, the elastic net method was used to solve the problem of selecting input variables in the regression model.

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