MNP characterization and signal prediction using a model-based dictionary

Date
2022-03-21
Authors
Alpman, Asli
Utkur, Mustafa
Saritas, Emine Ulku
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Source Title
International Journal on Magnetic Particle Imaging
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Publisher
Infinite Science Publishing
Volume
8
Issue
1 Suppl 1
Pages
1 - 4
Language
English
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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.

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Published Version (Please cite this version)