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- W2401365736 abstract "This paper proposes new technique for solution of electrical impedance tomography inverse problems. Usually, a set of voltage measurements is acquired from the boundaries of an investigated volume, whilst this is subjected to a sequence of low-frequency current patterns. In principle, measuring both the amplitude and the phase angle of the voltage can result in images of the electric conductivity and permittivity in the interior of a body. Alternating current patterns are preferred to DC to avoid polarization efiects. In the usual frequency range (below 1MHz) the fleld can be considered a steady current fleld, which is governed by the Laplace equation. It is well known that while the forward problem is well-posed, the inverse problem is nonlinear and highly ill-posed. The recently described methods are often based on deterministic or stochastic approach to solve mainly 2D problems. The aim of this paper is to present a new way for a successful image reconstruction to obtain high-quality reconstruction in electrical impedance tomography problems. Numerical results of an image reconstruction based on new technique are presented and compared. 1. INTRODUCTION The electrical impedance tomography (EIT) is a widely investigated problem with many applica- tions in physical and biological sciences. Geophysical imaging is used for searching underground conducting ∞uid plumes near the surface and obtaining information about rock porosity or fracture formation. Another application of EIT is for example in non-destructive testing and identiflca- tion of material defects like cracks or identiflcation of corrosion in production materials. Medical imaging can be used primarily for the detection of pulmonary emboli, non-invasive monitoring of heart function and blood ∞ow, and for breast cancer detection. The theoretical background of EIT is given in (1). The principle of EIT is based on the back image reconstruction, which is highly ill-posed inverse problem. The aim is to reconstruct, as accurately and fast as possible, the internal conductivity or permittivity distributions in two or three dimensional models. The optimization necessitates algorithm that impose regularization and some prior information constraint." @default.
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- W2401365736 date "2009-01-01" @default.
- W2401365736 modified "2023-09-27" @default.
- W2401365736 title "A New Algorithm for Electrical Impedance Tomography Inverse Problem" @default.
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