Signal-to-noise ratio criterion for the optimization of dual-energy acquisition using virtual x-ray imaging: application to glass wool

Jean-Michel Létang; Nicolas Freud; Gilles Peix

doi:10.1117/1.1760083

1 July 2004 Signal-to-noise ratio criterion for the optimization of dual-energy acquisition using virtual x-ray imaging: application to glass wool

Jean-Michel Létang, Nicolas Freud, Gilles Peix

Author Affiliations +

Journal of Electronic Imaging, Vol. 13, Issue 3, (July 2004). https://doi.org/10.1117/1.1760083

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.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jean-Michel Létang, Nicolas Freud, and Gilles Peix "Signal-to-noise ratio criterion for the optimization of dual-energy acquisition using virtual x-ray imaging: application to glass wool," Journal of Electronic Imaging 13(3), (1 July 2004). https://doi.org/10.1117/1.1760083

Published: 1 July 2004

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