Magnetic Particle Imaging (MPI) is a novel preclinical imaging modality that promises high spatio-temporalresolution without using ionizing radiation. It laverages the non-linear response of superparamagnetic nanoparticles to time-varying magnetic fields. During a scan the particles induce a voltage in the receivecoils of the scanner. This voltage constitues the signal from which the particles distribution is to be reconstructed.Traditional reconstruction algorithms employ system matrices obtained by a time-consuming calibration procedure.To avoid these calibrations model-based reconstruction algorithms are an important direction of research but presentschallenges due to the model-to-reality gap.
In this talk we describe recent developments in model-based reconstruction and show reconstruction results on real 2D MPI data.
- Uhrzeit: 16:15 Uhr
- Ort: C10 | 09.01