3D particle tracking velocimetry using dynamic discrete tomography

Andreas Alpers, Peter Gritzmann, Dmitry Moseev, Mirko Salewski

Abstract: Particle tracking velocimetry in 3D is becoming an increasingly important imaging tool in the study of fluid dynamics and combustion as well as plasmas. We introduce a dynamic discrete tomography algorithm for reconstructing particle trajectories from projections. The algorithm is efficient for data from two projection directions and exact in the sense that it finds a solution consistent with the experimental data. Non-uniqueness of solutions can be detected and solutions can be tracked individually.