A Direct Reconstruction Method for Anisotropic Electrical Impedance Tomography

Abstract

A novel computational, non-iterative and noise-robust reconstruction method is introduced for the planar anisotropic inverse conductivity problem. The method is based on bypassing the unstable step of the reconstruction of the values of the isothermal coordinates on the boundary of the domain. Non-uniqueness of the inverse problem is dealt with by recovering the unique isotropic conductivity that can be achieved as a deformation of the measured anisotropic conductivity by \emph{isothermal coordinates}. The method shows how isotropic D-bar reconstruction methods have produced reasonable and informative reconstructions even when used on EIT data known to come from anisotropic media, and when the boundary shape is not known precisely. Furthermore, the results pave the way for regularized anisotropic EIT. Key aspects of the approach involve D-bar methods and inverse scattering theory, complex geometrical optics solutions, and quasi-conformal mapping techniques.

30 pages, 8 figures

References in corpus (2)

• Simultaneous reconstruction of outer boundary shape and admittivity distribution in electrical impedance tomography
• A direct D-bar reconstruction algorithm for recovering a complex conductivity in 2-D

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• Discretization and Convergence of the EIT Optimal Control Problem in 2D and 3D Domains