Irregular sampling for X-ray imaging simulation

Abstract

The simulation of X-ray images can be computed efficiently using raytracing, a technique well established in 3D computer graphics and rendering. Since raytracing is a discrete technique it is prone to aliasing artefacts. However, irregular sampling is able to mitigate this problem. In this paper the influence of the probability density function of the sampling process on the reconstructed spectral density is described. It is demonstrated that irregular sampling can be used in X-ray imaging simulation to reduce the impact of aliasing.