International Journal on Magnetic Particle Imaging IJMPI
Vol. 8 No. 1 Suppl 1 (2022): Int J Mag Part Imag

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)


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.

Article Details

Most read articles by the same author(s)

1 2 3 > >>