Flexible and modular MPI simulation framework and its use in modelling a µMPI

M. Straub, Twan Gerardus Gertudis Maria Lammers, F. Kiessling, V. Schulz

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

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.
Original languageUndefined
Article number6501204
Pages (from-to)-
Number of pages4
JournalIEEE transactions on magnetics
Volume51
Issue number2
DOIs
Publication statusPublished - 2015

Keywords

  • METIS-315278
  • IR-99952

Cite this

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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.",
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Flexible and modular MPI simulation framework and its use in modelling a µMPI. / Straub, M.; Lammers, Twan Gerardus Gertudis Maria; Kiessling, F.; Schulz, V.

In: IEEE transactions on magnetics, Vol. 51, No. 2, 6501204, 2015, p. -.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Lammers, Twan Gerardus Gertudis Maria

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AU - Schulz, V.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

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