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Evaluation of a Combined Transmission and Scattering Approach to Composition Imaging of Industrial Samples

Published online by Cambridge University Press:  06 March 2019

T. H. Prettyraan
Affiliation:
Center for Engineering Applications of Radioisotopes Box 7909, North Carolina State University Raleigh, North Carolina 27695-7909
R. P. Gardner
Affiliation:
Center for Engineering Applications of Radioisotopes Box 7909, North Carolina State University Raleigh, North Carolina 27695-7909
J. C. Russ
Affiliation:
Center for Engineering Applications of Radioisotopes Box 7909, North Carolina State University Raleigh, North Carolina 27695-7909
K. Verghese
Affiliation:
Center for Engineering Applications of Radioisotopes Box 7909, North Carolina State University Raleigh, North Carolina 27695-7909
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Extract

Composition imaging of industrial samples has been reported using dual energy and multiple energy transmission computed tomography [1,2]. The simplest approach utilizes monoenergetic sources to obtain tomographs of a sample at two different energies. Each tomograph represents the linear attenuation coefficient distribution of the sample at the given source energy.

Type
XV. X-Ray Imaging and Tomography
Copyright
Copyright © International Centre for Diffraction Data 1991

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References

1. Engler, P., Friedman, W. D., and Armstrong, E. E. (1989), “Determination of Material Composition using Dual Energy Computed Tomography on a Medical Scanner”, Proceedings of Industrial Computerized Tomography Topical, ASNT, July 1989, 142-145.Google Scholar
2. Schneberk, D. J., Martz, H., and Azevedo, S. (1991), “Multiple-Energy Techniques in Industrial Corauterized Tomography”, Review af Progress in Quantitative Nondestructive Evaluation, Vol. 9.Google Scholar
3. Hubbel, J. H. (1969), “Photon Cross Sections, Attenuation Coefficients, and Energy Absorption Coefficients from 10 KeV to 100 GeV”, NSRDS-NBS 29.Google Scholar
4. Harding, G., “On the Sensitivity and Application Possibilities of a Novel Compton Scatter Imaging System”, IEEE Transactions on Nuclear Science, NS-29, no. 3, (1982) 12601265.Google Scholar
5. Gardner, R. P., Ely, R. L. Jr. (1967), Radioisotope Measurement Applications in Engineering, Reinhold Publishing Corporation, New York, pp. 262264.Google Scholar
6. Prettyman, T. H., Gardner, R. P., and Verghese, K. (1990), “MCPT: A Monte Carlo Code for Simulation of Photon Transport in Tomographic Scanners”, Nuct. Insir. and Meth. in Phys. Res., A299, 516523.Google Scholar
7. Kondic, N. (1983), “Three-Dimensional Density Field Determination by External Stationary Detectors and Gamma Sources using Selective Scattering”, Proc. of the 2nd International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, American Nuclear Society, Vol. II, pp. 1443-1455.Google Scholar