Evaluates a new metric for effective atomic number in organic materials, highlighting improved sensitivity.
Dual-energy X-ray imaging generates Z-images to classify materials and estimates the effective atomic number (Zeff) to identify specific organic substances such as explosives or narcotics. Conventional methods relying on the attenuation ratio R = µ₁/µ₂ exhibit limited sensitivity for distinguishing materials with close Zeff values, such as TNT and water. This study introduces a normalized metric M=(µ₁−µ₂)/(µ₁+µ₂), transposed from the Michelson contrast index used in satellite remote sensing, and evaluates its performance through analytical simulation on 15 organic materials (Z_eff ranging from 5.4 to 8). Simulated spectra centered at 60keV and 120keV with 10⁴ events per spectrum are based on Jia Hao et al. (2013). Results show a relative error of ±3.51 % for M compared to ±4.56 % for R, a 23 % reduction in estimation error, demonstrating M's enhanced sensitivity to Zeff variations in the organic domain. Error propagation analysis confirms that ΔM < ΔR for R ∈ [0.7, 0.9]. These findings illustrate that elementary transformations of existing dual-energy measurements remain underexplored, and that meaningful gains in material discrimination are accessible without modifying acquisition hardware or resorting to iterative reconstruction methods.
No takes yet. Share an insight, caveat, or question.
Gregory Jean (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: