Particle-Size Distribution of Dextran- and Carboxydextran-Coated Superparamagnetic Nanoparticles for Magnetic Particle Imaging

2009 ◽  
pp. 226-229 ◽  
Author(s):  
K. Lüdtke-Buzug ◽  
S. Biederer ◽  
T. F. Sattel ◽  
T. Knopp ◽  
T. M. Buzug
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Magnetic Particle ◽  
Superparamagnetic Nanoparticles ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

scholarly journals Applications of PDEs inpainting to magnetic particle imaging and corneal topography

2019 ◽  
Vol 39 (4) ◽  
pp. 453-482 ◽  
Author(s):  
Andrea Andrisani ◽  
Rosa Maria Mininni ◽  
Francesca Mazzia ◽  
Giuseppina Settanni ◽  
Alessandro Iurino ◽  
...  
Keyword(s):  
Fourth Order ◽  
Magnetic Particle ◽  
Approximation Error ◽  
Medical Application ◽  
Superparamagnetic Nanoparticles ◽  
Corneal Surface ◽  
Radial Curvature ◽  
Magnetic Particle Imaging ◽  
Particle Imaging ◽  
Standard Approximation

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.

Hydrodynamic and magnetic fractionation of superparamagnetic nanoparticles for magnetic particle imaging

2015 ◽  
Vol 380 ◽  
pp. 266-270 ◽  
Author(s):  
Norbert Löwa ◽  
Patrick Knappe ◽  
Frank Wiekhorst ◽  
Dietmar Eberbeck ◽  
Andreas F. Thünemann ◽  
...  
Keyword(s):  
Magnetic Particle ◽  
Superparamagnetic Nanoparticles ◽  
Magnetic Particle Imaging ◽  
Particle Imaging ◽  
Magnetic Fractionation

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 ◽  
...  
Keyword(s):  
Cell Tracking ◽  
Magnetic Particle ◽  
Tumor Imaging ◽  
Positive Contrast ◽  
Blood Pool ◽  
Superparamagnetic Nanoparticles ◽  
Surrounding Tissue ◽  
Background Signal ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

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.

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