International Journal on Magnetic Particle Imaging
Vol 8 No 1 Suppl 1 (2022): Int J Mag Part Imag
https://doi.org/10.18416/IJMPI.2022.2203017

Proceedings Articles

MNP Characterization and Signal Prediction using a Model-Based Dictionary

Main Article Content

Asli Alpman  (Bilkent University, Ankara, Turkey), Mustafa Utkur  (Bilkent University), Emine Ulku Saritas  (Bilkent University)

Abstract

Magnetic Particle Imaging (MPI) utilizes the nonlinear magnetic response of magnetic nanoparticles (MNPs) for signal localization. Accurate modeling of the magnetization behavior of MNPs is crucial for understanding their MPI signal responses. In this work, we propose a model-based dictionary approach using a coupled Brown-Néel rotation model. With experimental results on a Magnetic Particle Spectrometer (MPS), we show that this approach can successfully characterize MNPs and predict their signal responses.

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