scholarly journals TOOLBOX FOR 3D MODELLING AND IMAGE RECONSTRUCTION IN ELECTRICAL CAPACITANCE TOMOGRAPHY

2017 ◽  
Vol 7 (1) ◽  
pp. 0-0 ◽  
Author(s):  
Jacek Kryszyn ◽  
Waldemar Smolik
Keyword(s):  
Image Reconstruction ◽  
3D Modelling ◽  
Electrical Capacitance Tomography ◽  
Medical Electronics ◽  
Electrical Capacitance ◽  
Electric Permittivity ◽  
Matlab Toolbox ◽  
Sensor Modelling ◽  
Capacitance Tomography ◽  
Material Mixing

Electrical Capacitance Tomography is used to visualize a spatial distribution of electric permittivity in a tomographic sensor. ECT is able to create even thousands of frames per second which is suitable for application in the industry, e.g. monitoring of multiphase flows or material mixing. A tool for sensor modelling and image reconstruction is needed in order to develop improved solutions and to better understand phenomena in ECT. A software for 2D and 2D modelling is developed in the Division of Nuclear and Medical Electronics. In this paper a Matlab toolbox called ECTsim for 3D modelling is presented.

scholarly journals DEVELOPMENT OF ELECTRICAL CAPACITANCE TOMOGRAPH DESIGN IN THE NUCLEAR AND MEDICAL ELECTRONICS DIVISION

2017 ◽  
Vol 7 (1) ◽  
pp. 111-114 ◽  
Author(s):  
Jacek Kryszyn ◽  
Waldemar Smolik ◽  
Tomasz Olszewski ◽  
Roman Szabatin
Keyword(s):  
3D Visualization ◽  
Electrical Capacitance Tomography ◽  
Medical Electronics ◽  
Electrical Capacitance ◽  
Electric Permittivity ◽  
Precise Data ◽  
The World ◽  
Capacitance Tomography ◽  
Research Facilities ◽  
Material Mixing

Electrical Capacitance Tomography is a technique which allows to visualize a spatial distribution of electric permittivity in an examined volume. ECT allows to achieve hundreds of frames per second which is suitable for the industrial application, e.g. monitoring of multiphase flows or material mixing. Construction of such ECT system which enables precise data acquisition with sufficient speed is a challenge. In the Division of Nuclear and Medical Electronics ECT systems which have found applications in many research facilities in Poland and all over the world have been constructed for over 15 years. In this article a multichannel ET3 tomograph and its successor,EVT4, are presented. EVT4 will allow to obtain more than 10 thousand frames per second. This will allow to make progress in studies of dynamic processes and 3D visualization.

scholarly journals A Benchmark Dataset and Deep Learning-Based Image Reconstruction for Electrical Capacitance Tomography

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3701 ◽  
Author(s):  
Jin Zheng ◽  
Jinku Li ◽  
Yi Li ◽  
Lihui Peng
Keyword(s):  
Machine Learning ◽  
Image Reconstruction ◽  
Benchmark Dataset ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Reconstruction Algorithms ◽  
Reconstruction Methods ◽  
Image Reconstruction Algorithms ◽  
Capacitance Tomography ◽  
The Relationship

Electrical Capacitance Tomography (ECT) image reconstruction has developed for decades and made great achievements, but there is still a need to find a new theoretical framework to make it better and faster. In recent years, machine learning theory has been introduced in the ECT area to solve the image reconstruction problem. However, there is still no public benchmark dataset in the ECT field for the training and testing of machine learning-based image reconstruction algorithms. On the other hand, a public benchmark dataset can provide a standard framework to evaluate and compare the results of different image reconstruction methods. In this paper, a benchmark dataset for ECT image reconstruction is presented. Like the great contribution of ImageNet that transformed machine learning research, this benchmark dataset is hoped to be helpful for society to investigate new image reconstruction algorithms since the relationship between permittivity distribution and capacitance can be better mapped. In addition, different machine learning-based image reconstruction algorithms can be trained and tested by the unified dataset, and the results can be evaluated and compared under the same standard, thus, making the ECT image reconstruction study more open and causing a breakthrough.

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