Behavior of Signal Harmonics in Magnetic Particle Imaging Based on a Lock-in-Amplifier Model

TL;DR

This paper models how signal harmonics behave in magnetic particle imaging when the drive magnetic field is applied at various angles, enhancing understanding and optimization of MPI systems.

Contribution

It extends a lock-in-amplifier model to analyze harmonic behavior with arbitrary drive field angles in MPI, providing new insights for system improvement.

Findings

Harmonic behavior depends strongly on the angle between the coil and magnetic field.

The model predicts the relationship between MPI signal and position for different harmonics.

Results can guide the optimization of MPI system configurations.

Abstract

We previously presented a lock-in-amplifier model for analyzing the behavior of signal harmonics in magnetic particle imaging (MPI). In that study, the magnetization and particle size distribution of magnetic nanoparticles (MNPs) were assumed to obey the Langevin theory of paramagnetism and a log-normal distribution, respectively, and a drive magnetic field was assumed to be applied parallel to a selection magnetic field. The purpose of the current study was to investigate the behavior of signal harmonics in MPI with the drive magnetic field being applied to the selection magnetic field in an arbitrary direction using the lock-in-amplifier model. In the lock-in-amplifier model, the signal induced by MNPs in a receiving coil was multiplied with a reference signal, and was then fed through a low-pass filter to extract the DC component of the filtered signal (MPI signal). The strength of the selection magnetic field in MPI was assumed to be given by the product of the gradient strength of the selection magnetic field and the distance from the field-free region (x). The relationships between the MPI signal and x were calculated for odd- and even-numbered harmonics and were investigated for various angles between the axis of a receiving coil and the selection magnetic field. The behavior of signal harmonics in MPI largely depended on the angle between them. This study will be useful for improved understanding, optimization, and development of MPI.