Solution of the inverse problem of magnetic induction tomography (MIT) with multiple objects: analysis of detectability and statistical properties with respect to the reconstructed conducting region.

Robert Merwa; Patricia Brunner; Andreas Missner; Karl Hollaus; Hermann Scharfetter

doi:10.1088/0967-3334/27/5/s21

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Solution of the inverse problem of magnetic induction tomography (MIT) with multiple objects: analysis of detectability and statistical properties with respect to the reconstructed conducting region.

Robert Merwa·Patricia Brunner·Andreas Missner·Karl Hollaus·Hermann Scharfetter

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Abstract

Magnetic induction tomography (MIT) is a technique to image the passive electrical properties (i.e. conductivity, permittivity, permeability) of biological tissues. The inverse eddy current problem is nonlinear and ill-posed, thus a Gauss-Newton one-step method in combination with four different regularization schemes is used to obtain stable solutions. Simulations with 16 excitation coils, 32 receiving coils and different spherical perturbations inside a homogeneous cylinder were computed. In order to compare the statistical properties of the reconstructed results a Monte Carlo study with a SNR of 40 dB and 20 dB was carried out. Simulated conductivity perturbations inside a homogeneous cylinder can be localized and resolved and the results prove the feasibility of difference imaging with MIT.

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Algorithms Computer Simulation Electric Impedance Feasibility Studies Image Interpretation, Computer-Assisted Magnetics Models, Biological Models, Statistical Monte Carlo Method Plethysmography, Impedance Reproducibility of Results Sensitivity and Specificity Tomography Evaluation Study Journal Article

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Robert Merwa, Patricia Brunner, Andreas Missner, Karl Hollaus, Hermann Scharfetter. 2006-04-24. Solution of the inverse problem of magnetic induction tomography (MIT) with multiple objects: analysis of detectability and statistical properties with respect to the reconstructed conducting region.. https://doi.org/10.1088/0967-3334%2F27%2F5%2Fs21

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