Optimal scanning conditions in a X-ray Computed Tomography scan are determined by the source and detector of the CT-scanner and composition, size and density of the sample. Because all these components have an energy-dependent behaviour, optimizing a CT scan is not straightforward. In order to ease this process a GPU-accelerated realistic projection simulator, Arion, is developed.
Arion allows the user to simulate realistic radiographic projections for a certain geometry while taking into account the polychromatic behaviour of X-ray tube, detector and sample. This allows the user to produce realistic CT datasets that can be used to optimize the scanning conditions for a certain sample
