scholarly journals The Applications of Magnetic Particle Imaging: From Cell to Body

Diagnostics ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 800
Author(s):  
Xiao Han ◽  
Yang Li ◽  
Weifeng Liu ◽  
Xiaojun Chen ◽  
Zeyu Song ◽  
...  

Magnetic particle imaging (MPI) is a cutting-edge imaging technique that is attracting increasing attention. This novel technique collects signals from superparamagnetic nanoparticles as its imaging tracer. It has characteristics such as linear quantitativity, positive contrast, unlimited penetration, no radiation, and no background signal from surrounding tissue. These characteristics enable various medical applications. In this paper, we first introduce the development and imaging principles of MPI. Then, we discuss the current major applications of MPI by dividing them into four categories: cell tracking, blood pool imaging, tumor imaging, and visualized magnetic hyperthermia. Even though research on MPI is still in its infancy, we hope this discussion will promote interest in the applications of MPI and encourage the design of tracers tailored for MPI.

2021 ◽  
Author(s):  
Ashley V Makela ◽  
Melissa A Schott ◽  
Olivia C Sehl ◽  
Julia J Gevaert ◽  
Paula J. Foster ◽  
...  

The use of imaging to detect and monitor the movement and accumulation of cells in living subjects can provide significant insights that can improve our understanding of metastasis and guide therapeutic development. For cell tracking using Magnetic Resonance Imaging (MRI), cells are labeled with iron oxides and the effects of the iron on water provides contrast. However, due to low specificity and difficulties in quantification with MRI, other modalities and approaches need to be developed. Magnetic Particle Imaging (MPI) is an emerging imaging technique which directly detects magnetic iron, allowing for a specific, quantitative and sensitive readout. Here, we use MPI to image iron-labeled tumor cells longitudinally, from implantation and growth at a primary site to movement to distant anatomic sites. In vivo bioluminescent imaging (BLI) was used to identify tumor metastases and computed tomography (CT) allowed for correlation of these signals to anatomic locations. These three imaging modalities provide information on immune escape and metastasis of iron-labeled, and unlabeled, tumor cells, and the accumulation of cell-free iron contrast over time. We identified iron signals by MPI and tumor cells via BLI, and correlated these positive contrast images with CT scans to reveal the anatomic sites with cancer cells; histologic analysis confirmed the presence of iron-labeled tumor cells in the tissues, suggesting that the metastatic cells retained enough iron for MPI detection. The use of multi-modality cell tracking reveals the movement, accumulation and fates of labeled cells that will be helpful understanding cancer progression and guiding the development targeted therapies.


2019 ◽  
Vol 39 (4) ◽  
pp. 453-482 ◽  
Author(s):  
Andrea Andrisani ◽  
Rosa Maria Mininni ◽  
Francesca Mazzia ◽  
Giuseppina Settanni ◽  
Alessandro Iurino ◽  
...  

In this work we propose a novel application of Partial Differential Equations (PDEs) inpainting techniques to two medical contexts. The first one concerning recovering of concentration maps for superparamagnetic nanoparticles, used as tracers in the framework of Magnetic Particle Imaging. The analysis is carried out by two set of simulations, with and without adding a source of noise, to show that the inpainted images preserve the main properties of the original ones. The second medical application is related to recovering data of corneal elevation maps in ophthalmology. A new procedure consisting in applying the PDEs inpainting techniques to the radial curvature image is proposed. The images of the anterior corneal surface are properly recovered to obtain an approximation error of the required precision. We compare inpainting methods based on second, third and fourth-order PDEs with standard approximation and interpolation techniques.


2015 ◽  
Vol 380 ◽  
pp. 266-270 ◽  
Author(s):  
Norbert Löwa ◽  
Patrick Knappe ◽  
Frank Wiekhorst ◽  
Dietmar Eberbeck ◽  
Andreas F. Thünemann ◽  
...  

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