International Journal on Magnetic Particle Imaging
Published by Infinite Science Publishing
eISSN : 2365-9033
Abbreviation : Int. J. Magn. Part. Imaging
Aims & Scope
Magnetic Particle Imaging (MPI) is a novel imaging modality that uses various static and oscillating magnetic fields to image the spatial distribution of superparamagnetic iron oxide nanoparticles (SPIOs) with high sensitivity, no tissue background, and no ionizing radiation.
The method exploits the non-linear magnetization behavior of the SPIOs, and has shown great potential to surpass current in vivo imaging modalities in terms of sensitivity, safety, quantitation, and spatio-temporal resolution.
MPI is well suited for clinical applications such as angiography, cancer imaging, and inflammation imaging; as well as research applications such as stem cell imaging and small animal imaging.
The International Journal on Magnetic Particle Imaging encourages the submission of manuscripts in the following research fields related to MPI: • Medical, pre-clinical, and non-medical applications • Coil and field generator design • Data acquisition and signal pre-processing • Signal generation, amplification and filter design • Magnetic field simulation and system modeling • Magnetic particle spectroscopy (MPS) • Molecular imaging and reporter genes • Nanoparticle development • Particle physics and simulations • Reconstruction methods • Sequences, acquisition protocols and spatial coding • Physiological compatibility, SAR and PNS • Scanner geometries and system design
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.298 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q3 |
h-index
| Year | Value |
|---|---|
| 2024 | 8 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 16713 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 138 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering, Materials Science and Medicine, designed to support cutting-edge academic discovery.