Investigating four algorithms for material discrimination in a simulated dual-energy radiography system

In the present work, a dual-energy X-ray radiography system was simulated using MCNPX code. Then, material discrimination curves for graphite, aluminum, steel, and lead materials were obtained using four algorithms, including log-log, R-T, r-theta, and alpha(1)-alpha(2). The results show that R-T, r-theta, and alpha(1)-alpha(2) algorithms have better performance. Also, due to the less overlap of material discrimination curves for low sample thicknesses, the R-T algorithm can be a better choice for obtaining material discrimination curves in dual-energy radiography systems.

Automated summary

In this study, a dual-energy X-ray radiography system was simulated using the MCNPX code. Material discrimination curves for graphite, aluminum, steel, and lead materials were obtained using four algorithms: log-log, R-T, r-theta, and alpha(1)-alpha(2). The results showed that the R-T, r-theta, and alpha(1)-alpha(2) algorithms performed better. Additionally, the R-T algorithm was found to be a better choice for obtaining material discrimination curves in dual-energy radiography systems due to less overlap of the curves at low sample thicknesses.