2 papers
eess.IV2026
Deep Learning for Restoring MPI System Matrices Using Simulated Training Data
Artyom Tsanda, Sarah Reiss, Konrad Scheffler +2
Magnetic particle imaging reconstructs tracer distributions using a system matrix obtained through time-consuming, noise-prone calibration measurements. Methods for addressing impe…
physics.med-ph2025
Efficient Chebyshev Reconstruction for the Anisotropic Equilibrium Model in Magnetic Particle Imaging
Christine Droigk, Daniel Hernández Durán, Marco Maass +2
Magnetic Particle Imaging (MPI) is a tomographic imaging modality capable of real-time, high-sensitivity mapping of superparamagnetic iron oxide nanoparticles. Model-based image re…