A Normalized Metric for Effective Atomic Number Estimation in Dual-Energy X-Ray Imaging

Grégory JEAN

PAPER · v1.0 · 2026-06-03 · human

Applied Sciences Medicine Medical technology and informatics

Abstract

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 = µ_1/µ_2 exhibit limited sensitivity for distinguishing materials with close Zeff values, such as TNT and water. This study introduces a normalized metric M=(µ_1-µ_2)/(µ_1+µ_2 ), 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.

Keywords

DECT Z-Image Dual-Energy X-Ray Material Discrimination

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