Measurement-based Synthesis of Field Free Line Trajectory Data

Jonas Schumacher; Justin Ackers; Serhat Ilbey; Jochen Franke; Thorsten M. Buzug; Matthias Graeser; Mandy Ahlborg

doi:10.18416/IJMPI.2025.2503036

International Journal on Magnetic Particle Imaging IJMPI
Vol. 11 No. 1 Suppl 1 (2025): Int J Mag Part Imag
https://doi.org/10.18416/IJMPI.2025.2503036

Proceedings Articles

Measurement-based Synthesis of Field Free Line Trajectory Data

Jonas Schumacher (Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering IMTE), Justin Ackers (Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering IMTE, Lübeck, Germany), Serhat Ilbey (Bruker BioSpin GmbH & Co. KG, Ettlingen, Germany), Jochen Franke (Bruker BioSpin GmbH & Co. KG, Ettlingen, Germany), Thorsten M. Buzug (1) Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering IMTE, Lübeck, Germany 2) Institute of Medical Engineering, University of Lübeck, Lübeck, Germany), Matthias Graeser (1) Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering IMTE, Lübeck, Germany 2) Chair of Measurement Technology, Universität Rostock, Rostock, Germany), Mandy Ahlborg (Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering IMTE, Lübeck, Germany)

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Calibrating Magnetic Particle Imaging systems is time-consuming when done with a robot. Synthesizing calibration
data from fast calibration measurements can be a significant advantage when dealing with multiple magnetic
particle types and trajectories. An approach for this synthesis is presented and evaluated using measured data from
an arbitrary waveform Magnetic Particle Spectrometer.

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International Journal on Magnetic Particle Imaging IJMPI

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Abstract

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