DocumentCode :
113163
Title :
Flexible and Modular MPI Simulation Framework and Its Use in Modeling a boldsymbol {\\mu } MPI
Author :
Straub, Marcel ; Lammers, Twan ; Kiessling, Fabian ; Schulz, Volkmar
Author_Institution :
Phys. of Mol. Imaging Syst., RWTH Aachen Univ. Hosp., Aachen, Germany
Volume :
51
Issue :
2
fYear :
2015
fDate :
Feb. 2015
Firstpage :
1
Lastpage :
4
Abstract :
The availability of thorough system simulations for detailed and accurate performance prediction and optimization of existing and future designs for a new modality, such as magnetic particle imaging (MPI) are very important. Our framework aims to simulate a complete MPI system by providing a description of all (drive and receive) coils, permanent magnet configurations, magnetic nanoparticle (MNP) distributions, and characteristics of the signal processing chain. The simulation is performed on a user defined spatial and temporal discrete grid. The magnetization of the MNP is modeled by either the Langevin theory or as ideal particles with infinite steepness and ideal saturation. The magnetic fields are approximated in first order by calculating the Biot-Savart integral. In addition, the coupling constants between the excitation coils (e.g., drive field coils) and the receive coils can be determined. All coils can be described by an XML description language based on primitive geometric shapes. First simulations of a modeled μMPI system are shown. In this regard, μMPI refers to a small 1-D system for samples of a size of a few tens of a cubic millimeter and a spatial resolution of about 200 μm.
Keywords :
approximation theory; coils; imaging; magnetic particles; magnetisation; nanomagnetics; nanoparticles; optimisation; permanent magnets; Biot-Savart integral; Langevin theory; XML description language; approximation; coupling constants; excitation coils; flexible MPI simulation framework; infinite steepness; magnetic fields; magnetic nanoparticle distributions; magnetic particle imaging; magnetization; modular MPI simulation framework; optimization; performance prediction; permanent magnet configurations; primitive geometric shapes; receive coils; signal processing chain characteristics; small 1D system; spatial discrete grid; spatial resolution; temporal discrete grid; Coils; Image reconstruction; Magnetic particles; Magnetic resonance imaging; Magnetization; Saturation magnetization; High resolution; magnetic particle imaging (MPI); simulation;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2014.2329733
Filename :
7067549
Link To Document :
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