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Abstract: Magnetic particle imaging ({MPI}) is a novel imaging method that was first proposed by Gleich and Weizenecker in 2005. Applying static and dynamic magnetic fields, {MPI} exploits the unique characteristics of superparamagnetic iron oxide nanoparticles ({SPIONs}). The {SPIONs}' response allows a three-dimensional visualization of their distribution in space with a superb contrast, a very high temporal and good spatial resolution. Essentially, it is the {SPIONs}' superparamagnetic characteristics, the fact that they are magnetically saturable, and the harmonic composition of the {SPIONs}' response that make {MPI} possible at all. As {SPIONs} are the essential element of {MPI}, the development of customized nanoparticles is pursued with the greatest effort by many groups. Their objective is the creation of a {SPION} or a conglomerate of particles that will feature a much higher {MPI} performance than nanoparticles currently available commercially. A particle's {MPI} performance and suitability is characterized by parameters such as the strength of its {MPI} signal, its biocompatibility, or its pharmacokinetics. Some of the most important adjuster bolts to tune them are the particles' iron core and hydrodynamic diameter, their anisotropy, the composition of the particles' suspension, and their coating. As a three-dimensional, real-time imaging modality that is free of ionizing radiation, {MPI} appears ideally suited for applications such as vascular imaging and interventions as well as cellular and targeted imaging. A number of different theories and technical approaches on the way to the actual implementation of the basic concept of {MPI} have been seen in the last few years. Research groups around the world are working on different scanner geometries, from closed bore systems to single-sided scanners, and use reconstruction methods that are either based on actual calibration measurements or on theoretical models. This review aims at giving an overview of current developments and future directions in {MPI} about a decade after its first appearance.

[BibTex] [pmid]

Note: article

Abstract: Magnetic particle imaging ({MPI}) is a novel imaging method that was first proposed by Gleich and Weizenecker in 2005. Applying static and dynamic magnetic fields, {MPI} exploits the unique characteristics of superparamagnetic iron oxide nanoparticles ({SPIONs}). The {SPIONs}' response allows a three-dimensional visualization of their distribution in space with a superb contrast, a very high temporal and good spatial resolution. Essentially, it is the {SPIONs}' superparamagnetic characteristics, the fact that they are magnetically saturable, and the harmonic composition of the {SPIONs}' response that make {MPI} possible at all. As {SPIONs} are the essential element of {MPI}, the development of customized nanoparticles is pursued with the greatest effort by many groups. Their objective is the creation of a {SPION} or a conglomerate of particles that will feature a much higher {MPI} performance than nanoparticles currently available commercially. A particle's {MPI} performance and suitability is characterized by parameters such as the strength of its {MPI} signal, its biocompatibility, or its pharmacokinetics. Some of the most important adjuster bolts to tune them are the particles' iron core and hydrodynamic diameter, their anisotropy, the composition of the particles' suspension, and their coating. As a three-dimensional, real-time imaging modality that is free of ionizing radiation, {MPI} appears ideally suited for applications such as vascular imaging and interventions as well as cellular and targeted imaging. A number of different theories and technical approaches on the way to the actual implementation of the basic concept of {MPI} have been seen in the last few years. Research groups around the world are working on different scanner geometries, from closed bore systems to single-sided scanners, and use reconstruction methods that are either based on actual calibration measurements or on theoretical models. This review aims at giving an overview of current developments and future directions in {MPI} about a decade after its first appearance.