Electrical Resistance Tomography (ERT) is a body of methods and techniques aimed to reconstruct the spatial distribution of the conductivity of a material starting from the knowledge of boundary measurements such as, for instance, the Neumann-to-Dirichlet map. This inverse problem is ill-posed and nonlinear and, therefore, its solution require a considerable computational effort. In this paper we present a comparison between three fast non-iterative reconstruction methods for locating inclusions in an otherwise homogeneous material (for both 2D and 3D geometries). These methods, potentially, are candidate for real-time applications. (C) 2011 Elsevier Ltd. All rights reserved.

Fast methods for shape reconstruction in Electrical Resistance Tomography / Calvano, Flavio; Rubinacci, Guglielmo; A., Tamburrino. - In: NDT & E INTERNATIONAL. - ISSN 0963-8695. - 46:(2012), pp. 32-40. [10.1016/j.ndteint.2011.10.007]

Fast methods for shape reconstruction in Electrical Resistance Tomography

CALVANO, FLAVIO;RUBINACCI, GUGLIELMO;
2012

Abstract

Electrical Resistance Tomography (ERT) is a body of methods and techniques aimed to reconstruct the spatial distribution of the conductivity of a material starting from the knowledge of boundary measurements such as, for instance, the Neumann-to-Dirichlet map. This inverse problem is ill-posed and nonlinear and, therefore, its solution require a considerable computational effort. In this paper we present a comparison between three fast non-iterative reconstruction methods for locating inclusions in an otherwise homogeneous material (for both 2D and 3D geometries). These methods, potentially, are candidate for real-time applications. (C) 2011 Elsevier Ltd. All rights reserved.
2012
Fast methods for shape reconstruction in Electrical Resistance Tomography / Calvano, Flavio; Rubinacci, Guglielmo; A., Tamburrino. - In: NDT & E INTERNATIONAL. - ISSN 0963-8695. - 46:(2012), pp. 32-40. [10.1016/j.ndteint.2011.10.007]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/463532
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