2003
DOI: 10.1051/cocv:2002071
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Boundary integral formulae for the reconstruction of electric and electromagnetic inhomogeneities of small volume

Abstract: Abstract. In this paper we discuss the approximate reconstruction of inhomogeneities of small volume. The data used for the reconstruction consist of boundary integrals of the (observed) electromagnetic fields. The numerical algorithms discussed are based on highly accurate asymptotic formulae for the electromagnetic fields in the presence of small volume inhomogeneities.Mathematics Subject Classification. 35J25, 35R30, 65R99.

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Cited by 82 publications
(103 citation statements)
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“…The method of reconstruction we propose here consists, as in [5], of sampling values of Λ α (η) at some discrete set of points and then calculating the corresponding discrete inverse Fourier transform. After a rescaling by − 1 2 , the support of this discrete inverse Fourier transform yields the location of the small imperfections B α .…”
Section: Remark 22mentioning
confidence: 99%
See 2 more Smart Citations
“…The method of reconstruction we propose here consists, as in [5], of sampling values of Λ α (η) at some discrete set of points and then calculating the corresponding discrete inverse Fourier transform. After a rescaling by − 1 2 , the support of this discrete inverse Fourier transform yields the location of the small imperfections B α .…”
Section: Remark 22mentioning
confidence: 99%
“…The determination of conductivity profiles from knowledge of boundary measurements has received a great deal of attention (see, for example, [1,2,5,20,32]). However, the reconstruction of imperfections within a dynamical (i.e.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Conversely, certain non-iterative shape reconstruction algorithms have been proposed; for example, MUltiple SIgnal Classification (MUSIC) algorithm [6,10,32,34], linear sampling method [15,21], Kirchhoff migration [6,28,29,33], and Fourier inversion based one [8,9,11]. In contrast with the iterative strategy, these algorithms require a large amount of incident field data and a significant number of boundary measurements.…”
Section: Introductionmentioning
confidence: 99%
“…The asymptotic formulas for diametrically small conductivity inhomogeneities and scatterers known so far form the foundation of several efficient reconstruction methods for inverse conductivity problems (see, e.g., Ammari, Moskow, and Vogelius [7], Ammari and Seo [8] or Brühl, Hanke, and Vogelius [17]) and inverse scattering problems for Maxwell's equations (see, e.g., Ammari et al [2], Iakovleva et al [33], Volkov [42], or [28,29,31,32]). In addition the general formula for electrostatic potentials from [18] has recently been used to investigate inverse conductivity problems for wires and tubes (see Beretta et al [13] or [30]).…”
Section: Introductionmentioning
confidence: 99%