摘要：AbstractElectrical Impedance Tomography (EIT) is a imaging technique that attempts to reconstruct the conductivity distribution inside an object from electrical currents and potentials measured at its surface. The domain is mainly considered isotropic by several researchers. However, it is known that the biological tissue is anisotropic. The conductivity is represented by a tensor. The EIT reconstruction problem is approached as an optimization problem where one tries to maximize the matching between a simulated impedance domain and the observed one. This optimization problem is approached by Simulated Annealing (SA). It is proposed a new visual representation for anisotropic conductivities, and such visual representation facilitates the comprehension of the reconstructed images. Three numerical phantoms are reconstructed.
关键词：KeywordsInverse ProblemFinite Element MethodOptimizationProbabilistic MethodImage ReconstructionElectrical Impedance
