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Journal of Electronic Imaging

Signal-to-noise ratio criterion for the optimization of dual-energy acquisition using virtual x-ray imaging: application to glass wool
Author(s): Jean-Michel Létang; Nicolas Freud; Gilles Peix
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Paper Abstract

Dual-energy techniques are used to carry out selective and quantitative imaging of materials consisting of two components. We present a technique that takes advantage of a deterministic simulation tool to find the optimal x-ray spectra used in a dual-energy system and to calibrate the measurement protocol. To optimize the choice of energy spectra, a signal-to-noise ratio (SNR) criterion on the estimated thickness of the materials is established. To further study the reliability of the SNR criterion, it is first compared to the measurement quality, expressed by a contrast-to-noise ratio, which characterizes the input images. Then, the numerical conditioning of the linear dual-energy system of equations is investigated to probe the stability of the inversion. Once the choice of energy spectra is settled, the reconstructed values of the thickness are modeled as third-order polynomials expressed in terms of dual-energy measurements. An application to glass-wool materials is presented.

Paper Details

Date Published: 1 July 2004
PDF: 14 pages
J. Electron. Imaging. 13(3) doi: 10.1117/1.1760083
Published in: Journal of Electronic Imaging Volume 13, Issue 3
Show Author Affiliations
Jean-Michel Létang, Institut National des Sciences Appliquees de Lyon (France)
Nicolas Freud, Institut National des Sciences Appliquees de Lyon (France)
Gilles Peix, Institut National des Sciences Appliquees de Lyon (France)

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