İder, Y. Z.Onart, S.Lionheart, W. R. B.2016-02-082016-02-0820030967-3334http://hdl.handle.net/11693/27536Magnetic resonance-electrical impedance tomography (MR-EIT) was first proposed in 1992. Since then various reconstruction algorithms have been suggested and applied. These algorithms use peripheral voltage measurements and internal current density measurements in different combinations. In this study the problem of MR-EIT is treated as a hyperbolic system of first-order partial differential equations, and three numerical methods are proposed for its solution. This approach is not utilized in any of the algorithms proposed earlier. The numerical solution methods are integration along equipotential surfaces (method of characteristics), integration on a Cartesian grid, and inversion of a system matrix derived by a finite difference formulation. It is shown that if some uniqueness conditions are satisfied, then using at least two injected current patterns, resistivity can be reconstructed apart from a multiplicative constant. This constant can then be identified using a single voltage measurement. The methods proposed are direct, non-iterative, and valid and feasible for 3D reconstructions. They can also be used to easily obtain slice and field-of-view images from a 3D object. 2D simulations are made to illustrate the performance of the algorithms.EnglishEITElectrical impedance tomographyHyperbolic system of partial differential equationsImage reconstructionMagnetic resonance-electrical impedance tomographyMedical imagingMethod of characteristicsMR-EITAlgorithmComputer assisted impedance tomographyDensityElectric currentElectric potentialImage reconstructionImagingMathematical analysisMeasurementNuclear magnetic resonance imagingSimulationAlgorithmsComputer SimulationElectric ImpedanceMagnetic resonance spectroscopyModels, theoreticalArticle10.1088/0967-3334/24/2/368