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On the formulation of the image reconstruction problem in magnetic particle imaging

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On the formulation of the image reconstruction problem in magnetic particle imaging. / Grüttner, Mandy; Knopp, Tobias; Franke, Jochen; Heidenreich, Michael; Rahmer, Jürgen; Halkola, Aleksi; Kaethner, Christian; Borgert, Jörn; Buzug, Thorsten M.

In: BIOMED ENG-BIOMED TE, Vol. 58, No. 6, 12.2013, p. 583-91.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Grüttner, M, Knopp, T, Franke, J, Heidenreich, M, Rahmer, J, Halkola, A, Kaethner, C, Borgert, J & Buzug, TM 2013, 'On the formulation of the image reconstruction problem in magnetic particle imaging', BIOMED ENG-BIOMED TE, vol. 58, no. 6, pp. 583-91. https://doi.org/10.1515/bmt-2012-0063

APA

Grüttner, M., Knopp, T., Franke, J., Heidenreich, M., Rahmer, J., Halkola, A., Kaethner, C., Borgert, J., & Buzug, T. M. (2013). On the formulation of the image reconstruction problem in magnetic particle imaging. BIOMED ENG-BIOMED TE, 58(6), 583-91. https://doi.org/10.1515/bmt-2012-0063

Vancouver

Grüttner M, Knopp T, Franke J, Heidenreich M, Rahmer J, Halkola A et al. On the formulation of the image reconstruction problem in magnetic particle imaging. BIOMED ENG-BIOMED TE. 2013 Dec;58(6):583-91. https://doi.org/10.1515/bmt-2012-0063

Bibtex

@article{7d9c0e5db7e744ad858c35a9f482b229,
title = "On the formulation of the image reconstruction problem in magnetic particle imaging",
abstract = "In magnetic particle imaging (MPI), the spatial distribution of magnetic nanoparticles is determined by applying various static and dynamic magnetic fields. Due to the complex physical behavior of the nanoparticles, it is challenging to determine the MPI system matrix in practice. Since the first publication on MPI in 2005, different methods that rely on measurements or simulations for the determination of the MPI system matrix have been proposed. Some methods restrict the simulation to an idealized model to speed up data reconstruction by exploiting the structure of an idealized MPI system matrix. Recently, a method that processes the measurement data in x-space rather than frequency space has been proposed. In this work, we compare the different approaches for image reconstruction in MPI and show that the x-space and the frequency space reconstruction techniques are equivalent.",
keywords = "Algorithms, Contrast Media, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Magnetite Nanoparticles, Molecular Imaging, Reproducibility of Results, Sensitivity and Specificity, Journal Article, Research Support, Non-U.S. Gov't",
author = "Mandy Gr{\"u}ttner and Tobias Knopp and Jochen Franke and Michael Heidenreich and J{\"u}rgen Rahmer and Aleksi Halkola and Christian Kaethner and J{\"o}rn Borgert and Buzug, {Thorsten M}",
year = "2013",
month = dec,
doi = "10.1515/bmt-2012-0063",
language = "English",
volume = "58",
pages = "583--91",
journal = "BIOMED ENG-BIOMED TE",
issn = "0013-5585",
publisher = "Walter de Gruyter GmbH & Co. KG",
number = "6",

}

RIS

TY - JOUR

T1 - On the formulation of the image reconstruction problem in magnetic particle imaging

AU - Grüttner, Mandy

AU - Knopp, Tobias

AU - Franke, Jochen

AU - Heidenreich, Michael

AU - Rahmer, Jürgen

AU - Halkola, Aleksi

AU - Kaethner, Christian

AU - Borgert, Jörn

AU - Buzug, Thorsten M

PY - 2013/12

Y1 - 2013/12

N2 - In magnetic particle imaging (MPI), the spatial distribution of magnetic nanoparticles is determined by applying various static and dynamic magnetic fields. Due to the complex physical behavior of the nanoparticles, it is challenging to determine the MPI system matrix in practice. Since the first publication on MPI in 2005, different methods that rely on measurements or simulations for the determination of the MPI system matrix have been proposed. Some methods restrict the simulation to an idealized model to speed up data reconstruction by exploiting the structure of an idealized MPI system matrix. Recently, a method that processes the measurement data in x-space rather than frequency space has been proposed. In this work, we compare the different approaches for image reconstruction in MPI and show that the x-space and the frequency space reconstruction techniques are equivalent.

AB - In magnetic particle imaging (MPI), the spatial distribution of magnetic nanoparticles is determined by applying various static and dynamic magnetic fields. Due to the complex physical behavior of the nanoparticles, it is challenging to determine the MPI system matrix in practice. Since the first publication on MPI in 2005, different methods that rely on measurements or simulations for the determination of the MPI system matrix have been proposed. Some methods restrict the simulation to an idealized model to speed up data reconstruction by exploiting the structure of an idealized MPI system matrix. Recently, a method that processes the measurement data in x-space rather than frequency space has been proposed. In this work, we compare the different approaches for image reconstruction in MPI and show that the x-space and the frequency space reconstruction techniques are equivalent.

KW - Algorithms

KW - Contrast Media

KW - Image Interpretation, Computer-Assisted

KW - Magnetic Resonance Imaging

KW - Magnetite Nanoparticles

KW - Molecular Imaging

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

U2 - 10.1515/bmt-2012-0063

DO - 10.1515/bmt-2012-0063

M3 - SCORING: Journal article

C2 - 24088606

VL - 58

SP - 583

EP - 591

JO - BIOMED ENG-BIOMED TE

JF - BIOMED ENG-BIOMED TE

SN - 0013-5585

IS - 6

ER -