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Mathematics  2014 

Probabilistic interpretation of electrical impedance tomography

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In this paper, we give probabilistic interpretations of both, the forward and the inverse problem of electrical impedance tomography with possibly anisotropic, merely measurable conductivities: Using the theory of symmetric Dirichlet spaces, Feynman-Kac type formulae corresponding to different electrode models on bounded Lipschitz domains are derived. Moreover, we give a probabilistic interpretation of the Calder\'on inverse conductivity problem in terms of reflecting diffusion processes and their corresponding boundary trace processes.


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