Chebyshev reconstruction of measured 1D magnetic particle imaging data

Magnetic particle imaging (MPI) is a quantitative imaging technique that allows to determine the spatial distribution of magnetic nanoparticles. In the present work, a model-based system matrix was generated and applied for the first time to the reconstruction of experimental 1D MPI data. The building elements of the simulated system matrix consist of properly altered Chebyshev polynomials. This special structure closely resembles the experimentally measured system matrix and is a main key towards an efficient and memory saving reconstruction in MPI.