Electrical impedance tomography based on Tikhonov regularization method improved by level set method

Author(s):  
Mingquan Wang ◽  
Guohua Wang ◽  
Shi Zhang ◽  
Jinshuan Zhao
2020 ◽  
Vol 39 (6) ◽  
pp. 1917-1929 ◽  
Author(s):  
Dong Liu ◽  
Danping Gu ◽  
Danny Smyl ◽  
Jiansong Deng ◽  
Jiangfeng Du

Author(s):  
Tomasz Rymarczyk

The article presents an application to the topology optimization in electrical impedance tomography using the level set method. The level set function is based on shape and topology optimization for areas with partly continuous conductivities. The finite element method has been used to solve the forward problem. The proposed algorithm is initialized using topological sensitivity analysis. Shape derivative and material derivative have been incorporated with the level set method to investigate shape optimization problems. The coupled algorithm is a relatively new procedure to overcome this problem. Using the line measurement model is very useful to solve the inverse problem in the copper-mine ceiling and the flood embankment.


2019 ◽  
Vol 31 (02) ◽  
pp. 1950010 ◽  
Author(s):  
Ramesh Kumar ◽  
Sharvan Kumar ◽  
A. Sengupta

Electrical impedance tomography is a recently established technique by which impedance of an object (medical or nonmedical applications) is measured data from the surface of the object, and a numerically simulated reconstruction of the object internal shape of the image can be obtained. This imaging technique based on boundary or surface voltage is measured when the different current pattern is injected into it. For current pulse, we are creating a voltage controlled current source, which is based on the different RC circuits, according to current amplitude and frequency values. The current source used in inject the current pulse of the various phantoms. The current position and measuring voltage is controlled by the created control unit or programmable system on chip (PSOC) of the proposed EIT system. After that image reconstruction of the cross-sectional image of resistivity requires sufficient data collection from used phantoms, which is based on finite element method (FEM) method and Tikhonov regularization method with helps of graphical user interface (GUI) on MatLab. The objective of the GUI was to produce an image (2D/3D), impedance distribution graph, and the FEM mesh model according to used electrode combinations from the various phantoms. EIT system has a great potential for imaging modality, is non-invasive, radiation-free, and inexpensive for medical applications.


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