Contrast enhancement for Rayleigh scatter radiography

Russell D. Luggar; Walter B. Gilboy

doi:10.1117/12.219603

15 September 1995 Contrast enhancement for Rayleigh scatter radiography

Russell D. Luggar, Walter B. Gilboy

Proceedings Volume 2511, Law Enforcement Technologies: Identification Technologies and Traffic Safety; (1995) https://doi.org/10.1117/12.219603
Event: European Symposium on Optics for Environmental and Public Safety, 1995, Munich, Germany

Abstract

While Raleigh scatter radiography can result in image contrast far higher than conventional transmission methods for the detection of low-Z inclusions in light element matrices a means of separating the scattering from each of the individual components is desirable. This would then produce images of each material alone, if effect stripping away the scatter due to the other elements. This has been done by collecting image data at a series of scattering angles each corresponding to a maximum in the diffraction pattern of each constituent in the sample. The data at such angles is then due to the scatter from the material of interest plus a fraction of the scattering from each of the other components. This fraction is measurable from standard scatter patterns. By measuring at several angles a series of simultaneous equations can be obtained and solved to determine the scatter from each component alone. This technique is demonstrated using Rayleigh scatter image data from a typical industrial phantom. Both normal scatter images and individual component images are presented and the very large contrasts in the latter demonstrated. The statistical noise in the individual component images is greater than that for the total scatter images due to accumulating errors arising when solving the simultaneous equations. However the greatly increased contrast enables components to be distinguished more sensitively resulting in shorter run times.

Citation Download Citation

Russell D. Luggar and Walter B. Gilboy "Contrast enhancement for Rayleigh scatter radiography", Proc. SPIE 2511, Law Enforcement Technologies: Identification Technologies and Traffic Safety, (15 September 1995); https://doi.org/10.1117/12.219603

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