ASTM E1935-26

1.1 This practice covers instruction for determining the density calibration of X- and γ-ray computed tomography (CT) systems and for using this information to measure different material densities from CT images. The calibration is based on an examination of the CT image of a disk of material with embedded specimens of known composition and density. The measured mean CT numbers of the specimens are determined from an analysis of the image, and their linear attenuation coefficients are determined by multiplying their measured physical density by their published mass attenuation coefficient. The density calibration is performed by applying a linear regression to the data (CT number versus linear attenuation coefficient). Once calibrated, the linear attenuation coefficient of an unknown feature in an image can be measured from a determination of its mean CT number. Its density can then be extracted from a knowledge of its mass attenuation coefficient, or one representative of the feature.

1.2 CT provides an excellent method of nondestructively measuring density variations, which would be very difficult to quantify otherwise. Density is inherently a volumetric property of matter. As the measurement volume shrinks, local material inhomogeneities become more important; and measured values will begin to vary about the bulk density value of the material.

1.3 All values are stated in SI units.

1.4 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use.

1.5 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.