Optimal conditions for x-ray imaging by mathematical simulation

摘要

Non destructive evaluation with X-ray imaging produces an image of the interior in a region of interest in the sample. X-ray radiography produces radiographs, projected two-dimensional images, with restricted geometrical information about the sample. Computerized tomography (CT) images, on the contrary, gives both compositional and geometrical information and are obtained by mathematical reconstruction from radiographs collected from a number of different views. CT results in a two-, or three-dimensional map of the linear attenuation coefficients from a plane or volume in the sample. The aim with X-ray imaging is often to detect and classify structural and/or compositional defects. The obtained image quality is one of the parameters that determine the possibility for detection. A natural precaution is to make sure that the image quality in the collected image is as good as possible, that is, that optimal conditions was used during the X-ray imaging. The optimal X-ray imaging condition depends on the geometry and composition of the imaged object, which requires re-optimization for every new imaging task.