MNP characterization and signal prediction using a model-based dictionary
Date
2022-03-21Source Title
International Journal on Magnetic Particle Imaging
Publisher
Infinite Science Publishing
Volume
8
Issue
1 Suppl 1
Pages
1 - 4
Language
English
Type
ArticleItem Usage Stats
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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.