High-Order Regularized Regression in Electrical Impedance Tomography
نویسندگان
چکیده
منابع مشابه
High-Order Regularized Regression in Electrical Impedance Tomography
We present a novel approach for the inverse problem in electrical impedance tomography based on regularized quadratic regression. Our contribution introduces a new formulation for the forward model in the form of a nonlinear integral transform, that maps changes in the electrical properties of a domain to their respective variations in boundary data. Using perturbation theory results the kernel...
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Electrical impedance tomography (EIT) is a non-invasive imaging technique where a conductivity distribution in a domain is reconstructed from boundary voltage measurements. The voltage data are generated by injecting currents into the domain. This is an ill-conditioned non-linear inverse problem. Small measurement or forward modeling errors can lead to unbounded fluctuations in the reconstructi...
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This paper surveys some of the work our group has done in electrical impedance tomography.
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ژورنال
عنوان ژورنال: SIAM Journal on Imaging Sciences
سال: 2012
ISSN: 1936-4954
DOI: 10.1137/11084724x