By integrating statistical physics and quantitative X-ray CT imaging, the data-constrained modelling (DCM) approach proves to be an effective post-CT analysis technique capable of non-destructive characterization of internal void and oxide distributions in 3D-printed metal samples. Internal pores and oxides distribution of 3D-printed 316L stainless steel samples were characterized with the above approach.