IEEE Transactions on Magnetics · 2005 · 42 citations · 4 references
Computed TomographyNumerical AnalysisImage ReconstructionEngineeringMechanical EngineeringComputational MechanicsElectrical Impedance TomographyDance ImagesComputational ElectromagneticsBoundary Element MethodRadiologyHealth SciencesGeometric ModelingMethod Of Fundamental SolutionElectrical EngineeringReconstruction TechniqueMedical ImagingInverse ProblemsFinite Element MethodImpedance ImageStructural MechanicsMultiscale Modeling
Electrical impedance tomography (EIT) is a newly developed technique by which impedance measurements from the surface of an object are reconstructed into impedance image. The two-dimensional (2-D) EIT problem is regarded as a simplified model. As 2-D model cannot physically represent the three-dimensional (3-D) structure, the spatial information of the place where the impedance is changed by some diseases cannot be detected accurately. Therefore, 3-D EIT is necessary. In this paper, the finite element method (FEM) of 3-D EIT forward problem is presented. A sphere model is studied. The tetrahedron element is used in the meshing. Two types of sphere model, uniform model and multiplayer model are analyzed. The uniform sphere model, to which the analytical solution is applicable, is used to verify the developed FEM as well as examine the accuracy. The comparison between the numerical solution and the analytical solution shows the correctness of the developed FEM for EIT forward problem. The multiplayer model, four-layer model and three-layer model, is used to investigate the physical potential distribution inside the inhomogeneous sphere model. Reasonable potential distributions are obtained.
4
Electrical Impedance Tomography
Margaret Cheney, David Isaacson, J.C. Newell · SIAM Review · 1999 · 1.3K citations
Image reconstruction of EIT using differential evolution algorithm
Ying Li, Liyun Rao, Renjie He et al. · 2004 · 14 citations
Numerical Analysis, Finite Element Method, Image Reconstruction +13
Efficient Non-Linear 3D Electrical Tomography Reconstruction
Marc Molinari, Simón Cox, B H Blott et al. · ePrints Soton (University of Southampton) · 2001 · 12 citations