Magnetic particle imaging using prior information from MRIMS23

Magnetic particle imaging (MPI) is a new tracer-based imaging modality to image blood flow without using harmful radiation. Since MPI does not provide anatomical information, e.g. from biological tissue, it is combined with MRI. In this talk we present a model-based approach for MPI reconstruction to improve reconstruction quality. We use total least squares to compensate for modeling errors and a TV-term to incorporate the MRI information.

This presentation is part of Minisymposium “MS23 - Multi-Modality/Multi-Spectral Imaging and Structural Priors (2 parts)
organized by: Matthias J. Ehrhardt (University of Cambridge) , Simon Arridge (University College London) .

Christine Bathke (Center for Industrial Mathematics (ZeTem), University of Bremen)