scholarly journals Boundary integral formulations for the forward problem in magnetic induction tomography

2011 ◽  
Vol 34 (9) ◽  
pp. 1144-1156 ◽  
Author(s):  
S. Engleder ◽  
O. Steinbach
2010 ◽  
Vol 46 (5) ◽  
pp. 1193-1202 ◽  
Author(s):  
Nuno B. Bras ◽  
Raúl C. Martins ◽  
A. C. Serra ◽  
A. Lopes Ribeiro

2016 ◽  
Vol 65 (2) ◽  
pp. 327-336 ◽  
Author(s):  
Krzysztof Stawicki ◽  
Beata Szuflitowska ◽  
Marcin Ziolkowski

Abstract In this paper we present the results of simulations of the Magnetic Induction Tomography (MIT) forward problem. Two complementary calculation techniques have been implemented and coupled, namely: the finite element method (applied in commercial software Comsol Multiphysics) and the second, algebraic manipulations on basic relationships of electromagnetism in Matlab. The developed combination saves a lot of time and makes a better use of the available computer resources.


Author(s):  
Mohammad Reza Yousefi ◽  
◽  
Farouk Smith ◽  
Shahrokh Hatefi ◽  
Khaled Abou-El-Hossein ◽  
...  

Magnetic Induction Tomography (MIT), is a promising modality used for non-invasive imaging. However, there are some critical limitations in the MIT technique, including the forward problem. In this study, a coupled multi-resolution method combining Wavelet-based Mech Free (WMF) method and Finite Element Method (FEM), short for WMF-FEM method, is proposed to solve the MIT forward problem. Results show that using the WMF-FEM method could successfully solve the mesh coordinates dependence problem in FEM, apply boundary condition in the WMF method, and increase MIT approximations. Simulations show improved results compared to the standard FEM and WFM method. The proposed coupled multi-resolution WMF-FEM method could be used in the MIT technique to solve the forward problem. The contribution of this paper is a simulated MIT system whose performance is closely predicted by mathematical models. The derivation of the simulation equations of the coupled WMF-FEM method is shown. This new approach to the forward problem in MIT has shown an increase in the accuracy in MIT approximations.


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