2019/07/09 by Tobias Kluth, Kluth, Tobias, Patryk Szwargulski +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Engineering · Environmental Science · #Characterization and Applications of Magnetic Nanoparticles #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Geomagnetism and Paleomagnetism Studies #Minerals Flotation and Separation Techniques
paper · pdf · doi:10.48550/arxiv.1907.04854
openalex publication_date 2019/07/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The image reconstruction problem of the tomographic imaging technique\nmagnetic particle imaging (MPI) requires the solution of a linear inverse\nproblem. One prerequisite for this task is that the imaging operator that\ndescribes the mapping between the tomographic image and the measured signal is\naccurately known. For 2D and 3D excitation patterns, it is common to measure\nthe system matrix in a calibration procedure, that is both, very time consuming\nand adds noise to the operator. The need for measuring the system matrix is due\nto the lack of an accurate physical model that is capable of describing the\nnanoparticles' magnetization behavior. Within this work we introduce a physical\nmodel that is based on N 'eel rotation for large particle ensembles and we\nfind model parameters that describe measured 2D MPI data with much higher\nprecision than state of the art MPI models. With phantom experiments we show\nthat the simulated system matrix can be used for image reconstruction and\nreduces artifacts due to model-mismatch considerably.\n