Variability of Excitation Coil Design and Performance in Magnetic Particle Imaging: A Review

Abstract

Magnetic Particle Imaging (MPI) is a tomographic imaging method that uses magnetic nanoparticles (MNPs) as a tracer. MNPs are made up of unique superparamagnetic behaviour of iron oxide nanoparticle modelled by the Langevin theory. MPI is differed from the structural imaging methods such as Magnetic Resonance Imaging (MRI), Computed Tomographic (CT), Sonography and X-ray. Instead, it is the tracer imaging method like Positron Emission Tomography (PET) and Single Photon Emission Computed Tomography (SPECT). MPI is a promising potential imaging method for various applications including vascular imaging, cell tracking, hyperthermia, oncology and many more. MPI was first invented in 2005 and now undergoing rapid development by many researchers for clinically use. In this paper, the variability of excitation coil design and performance in MPI will be reviewed. Several issues will be discussed and the new concept of the excitation coil system will be recommended to be explored for future work in MPI.