Integrated X‐Ray, Gamma Radiation, and Micro‐ <scp>CT</scp> Techniques for Quantitative Wood Characterization

ABSTRACT The present research integrates microcomputed tomography (micro‐CT), x‐ray fluorescence, and gamma‐ray transmission to quantitatively characterize wood species. A total of 22 samples from seven species were analyzed for density ( ρ ), linear attenuation coefficient ( μ ), Compton scattering, micro‐CT gray values (GV), porosity, mass attenuation coefficient ( μ m ), and the Compton–Rayleigh ratio ( R / C ). Strong linear correlations were observed between density and μ ( R 2 = 0.990), density and Compton scattering ( R 2 = 0.969), and density and GV ( R 2 = 0.993), with Pearson coefficients ranging from −0.996 to −0.982 and from 0.974 to 0.995. Principal component analysis (PCA) reduced the seven variables into two components, which accounted for 86.56% of the variance, and successfully clustered the species into three groups based on their density, porosity, and attenuation characteristics. These findings underscore the potential of integrated spectrometric and imaging techniques for nondestructive wood differentiation, offering significant benefits for cultural heritage preservation.