Modeling Magnetic Particle Imaging for Dynamic Tracer Distributions

Abstract Magnetic Particle Imaging (MPI) is a promising tracer-based, functional medical imaging technique which measures the non-linear magnetization response of magnetic nanoparticles to dynamic field. For image reconstruction, system matrices from time-consuming calibration scans are used predominantly. Finding modeled forward operators for particle imaging, able compete with measured in practice, an ongoing topic research. The existing models by design not suitable arbitrary tracer concentrations. Neither nor account changes concentration during single scanning cycle. In this paper we present new MPI model A static will be introduced briefly, followed due behavior concentration. Furthermore, relevance extended examined investigating influence extension and example reconstructions standard model.