Mathematical and Computational Aspects in Magnetic Particle ImagingMS56

Magnetic particle imaging (MPI) is a new imaging modality to determine the concentration of nanoparticles from their nonlinear magnetization behavior. Highly dynamic applied magnetic fields allow a rapid data acquisition in 3D. But the image reconstruction still relies on a time-consuming calibration process. The large model uncertainty is a great challenge for achieving reconstructions with higher resolution. In this mini-symposium, we aim at bringing together researchers working on magnetic particle imaging and related fields. We cover theoretical and practical topics in MPI focusing on mathematical and physical as well as algorithmic and computational issues of the reconstruction.

Wed 06 June at 13:00 Matemates (Matemates, floor 0)
Mathematical models in magnetic particle imaging (MPI)
Tobias Kluth (University of Bremen)
Modeling the system function in MPI
Anne Wald (Saarland University)
Time-Frequency-Preprocessing of MPI Raw Signals
Florian Lieb (University of Applied Sciences, Aschaffenburg)
Model-based reconstruction for multivariate MPI
Andreas Weinmann (Hochschule Darmstadt)
Wed 06 June at 15:30 Matemates (Matemates, floor 0)
Fast Image Reconstruction by Exploiting Redundancies and Sparsities in the Magnetic Particle Imaging Operator
Knopp Tobias (University Medical Center Hamburg-Eppendorf/Hamburg University of Technology)
Fast temporal regularized reconstructions for magnetic particle imaging
Andreas Hauptmann (University College London)
Edge preserving and noise reducing reconstruction for magnetic particle imaging
Martin Storath (Universität Heidelberg)
Christina Brandt (University of Hamburg)
Tobias Kluth (University of Bremen)
image reconstruction, inverse problems