Influence of the description of the scattering matrix on permittivity reconstruction with a quantitative imaging procedure: polarization effects

Abstract : This paper focuses on the role of polarization-and more specifically, the effect of its selection-in 3D quantitative imaging obtained from scattered field measurements. Although polarization is now commonly used in linear imaging procedures (when unknowns are linked by a linear relationship to the measured signal), the influence of polarization choice is generally ignored in nonlinear imaging problems. In this paper, we propose a formulation to obtain the 3D permittivity map, by a nonlinear imaging procedure, from the scattering matrix. This allows one to select, from the same data set, the desired polarization case as input data for the imaging algorithm. We present a study of the influence of the input data polarization choice on the reconstructed per-mittivity map. This work shows that a suitable basis choice for the description of the scattering matrix and an appropriate selection of the element of this scattering matrix can greatly improve imaging results.
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Contributor : Christelle Eyraud <>
Submitted on : Tuesday, February 5, 2019 - 3:54:13 PM
Last modification on : Thursday, March 7, 2019 - 10:01:53 AM

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Christelle Eyraud, Hassan Saleh, Jean-Michel Geffrin. Influence of the description of the scattering matrix on permittivity reconstruction with a quantitative imaging procedure: polarization effects. Journal of the Optical Society of America. A, Optics and image science, Optical Society of America, 2019, 36 (2), pp.234. ⟨10.1364/josaa.36.000234⟩. ⟨hal-01986569⟩

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