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This calls for determination of suitable material properties from respective CT data, where the traditional approach consists of regression analyses between attenuation\u2010related grey values and mechanical properties.<\/jats:p><jats:p>We here present a physics\u2010oriented approach, considering that elasticity and strength of bone tissue originate from the material microstructure and the mechanical properties of its elementary components. Firstly, we reconstruct the linear relation between the clinically accessible grey values making up a CT, and the X\u2010ray attenuation coefficients quantifying the intensity losses from which the image is actually reconstructed. Therefore, we combine X\u2010ray attenuation averaging at different length scales and over different tissues, with recently identified \u2018universal\u2019\u00a0composition characteristics of the latter.<\/jats:p><jats:p>This gives access to both the normally non\u2010disclosed X\u2010ray energy employed in the CT\u2010device and to <jats:italic>in vivo<\/jats:italic> patient\u2010specific and location\u2010specific bone composition variables, such as voxel\u2010specific mass density, as well as collagen and mineral contents. The latter feed an experimentally validated multiscale elastoplastic model based on the hierarchical organization of bone. Corresponding elasticity maps across the organ enter a finite element simulation of a typical load case, and the resulting stress states are increased in a proportional fashion, so as to check the safety against ultimate material failure. In the young patient investigated, even normal physiological loading is probable to already imply plastic events associated with the hydrated mineral crystals in the bone ultrastructure, while the safety factor against failure is still as high as five. 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