MNP characterization and signal prediction using a model-based dictionary

Date
2022-03-21
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
International Journal on Magnetic Particle Imaging
Print ISSN
Electronic ISSN
Publisher
Infinite Science Publishing
Volume
8
Issue
1 Suppl 1
Pages
1 - 4
Language
English
Journal Title
Journal ISSN
Volume Title
Series
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.

Course
Other identifiers
Book Title
Keywords
Citation
Published Version (Please cite this version)