Current Publications

Journal Publications
since 2022

Recent Journal Publications

[76893]
Title: 1D-image reconstruction for magnetic particle imaging using a hybrid system function.
Written by: M. Grüttner, M. Graeser, S. Biederer, T. F. Sattel, H. Wojtczyk, W. Tenner, T. Knopp, B. Gleich, J. Borgert, and T. M. Buzug
in: <em>{IEEE} Nuclear Science Symposium and Medical Imaging Conference ({NSS}/{MIC})</em>. (2011).
Volume: Number:
on pages: 2545--2548
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1109/NSSMIC.2011.6152687
URL:
ARXIVID:
PMID:

[BibTex]

Note: inproceedings

Abstract: {Magnetic Particle Imaging} is a promising imaging technique using iron-oxide nanoparticle tracers. The spatial distribution of these particles can be determined by solving a system of linear equations. This reconstruction is based on a system function that either has to be measured or can be calculated with given information about scanner topology and particle characteristics. This paper introduces a new approach combining both possibilities. A Magnetic Particle Spectrometer is used to obtain a hybrid system function. Furthermore, we will show that the hybrid system function can be successfully used for 1D-image reconstruction and potentially is an alternative to the measurement-based system function.

Conference Abstracts and Proceedings
since 2022

Recent Conference Abstracts and Proceedings

[76893]
Title: 1D-image reconstruction for magnetic particle imaging using a hybrid system function.
Written by: M. Grüttner, M. Graeser, S. Biederer, T. F. Sattel, H. Wojtczyk, W. Tenner, T. Knopp, B. Gleich, J. Borgert, and T. M. Buzug
in: <em>{IEEE} Nuclear Science Symposium and Medical Imaging Conference ({NSS}/{MIC})</em>. (2011).
Volume: Number:
on pages: 2545--2548
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1109/NSSMIC.2011.6152687
URL:
ARXIVID:
PMID:

Note: inproceedings

Abstract: {Magnetic Particle Imaging} is a promising imaging technique using iron-oxide nanoparticle tracers. The spatial distribution of these particles can be determined by solving a system of linear equations. This reconstruction is based on a system function that either has to be measured or can be calculated with given information about scanner topology and particle characteristics. This paper introduces a new approach combining both possibilities. A Magnetic Particle Spectrometer is used to obtain a hybrid system function. Furthermore, we will show that the hybrid system function can be successfully used for 1D-image reconstruction and potentially is an alternative to the measurement-based system function.

Publications

Journal Publications
since 2014

Journal Publications

[76893]
Title: 1D-image reconstruction for magnetic particle imaging using a hybrid system function.
Written by: M. Grüttner, M. Graeser, S. Biederer, T. F. Sattel, H. Wojtczyk, W. Tenner, T. Knopp, B. Gleich, J. Borgert, and T. M. Buzug
in: <em>{IEEE} Nuclear Science Symposium and Medical Imaging Conference ({NSS}/{MIC})</em>. (2011).
Volume: Number:
on pages: 2545--2548
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1109/NSSMIC.2011.6152687
URL:
ARXIVID:
PMID:

[BibTex]

Note: inproceedings

Abstract: {Magnetic Particle Imaging} is a promising imaging technique using iron-oxide nanoparticle tracers. The spatial distribution of these particles can be determined by solving a system of linear equations. This reconstruction is based on a system function that either has to be measured or can be calculated with given information about scanner topology and particle characteristics. This paper introduces a new approach combining both possibilities. A Magnetic Particle Spectrometer is used to obtain a hybrid system function. Furthermore, we will show that the hybrid system function can be successfully used for 1D-image reconstruction and potentially is an alternative to the measurement-based system function.

Conference Abstracts and Proceedings
since 2014

Conference Abstracts and Proceedings

[76893]
Title: 1D-image reconstruction for magnetic particle imaging using a hybrid system function.
Written by: M. Grüttner, M. Graeser, S. Biederer, T. F. Sattel, H. Wojtczyk, W. Tenner, T. Knopp, B. Gleich, J. Borgert, and T. M. Buzug
in: <em>{IEEE} Nuclear Science Symposium and Medical Imaging Conference ({NSS}/{MIC})</em>. (2011).
Volume: Number:
on pages: 2545--2548
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1109/NSSMIC.2011.6152687
URL:
ARXIVID:
PMID:

Note: inproceedings

Abstract: {Magnetic Particle Imaging} is a promising imaging technique using iron-oxide nanoparticle tracers. The spatial distribution of these particles can be determined by solving a system of linear equations. This reconstruction is based on a system function that either has to be measured or can be calculated with given information about scanner topology and particle characteristics. This paper introduces a new approach combining both possibilities. A Magnetic Particle Spectrometer is used to obtain a hybrid system function. Furthermore, we will show that the hybrid system function can be successfully used for 1D-image reconstruction and potentially is an alternative to the measurement-based system function.

Publications Pre-dating the Institute

Publications
2007-2013

Old Publications

[76893]
Title: 1D-image reconstruction for magnetic particle imaging using a hybrid system function.
Written by: M. Grüttner, M. Graeser, S. Biederer, T. F. Sattel, H. Wojtczyk, W. Tenner, T. Knopp, B. Gleich, J. Borgert, and T. M. Buzug
in: <em>{IEEE} Nuclear Science Symposium and Medical Imaging Conference ({NSS}/{MIC})</em>. (2011).
Volume: Number:
on pages: 2545--2548
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1109/NSSMIC.2011.6152687
URL:
ARXIVID:
PMID:

Note: inproceedings

Abstract: {Magnetic Particle Imaging} is a promising imaging technique using iron-oxide nanoparticle tracers. The spatial distribution of these particles can be determined by solving a system of linear equations. This reconstruction is based on a system function that either has to be measured or can be calculated with given information about scanner topology and particle characteristics. This paper introduces a new approach combining both possibilities. A Magnetic Particle Spectrometer is used to obtain a hybrid system function. Furthermore, we will show that the hybrid system function can be successfully used for 1D-image reconstruction and potentially is an alternative to the measurement-based system function.

Open Access Publications

Journal Publications
since 2014

Open Access Publications

[76893]
Title: 1D-image reconstruction for magnetic particle imaging using a hybrid system function.
Written by: M. Grüttner, M. Graeser, S. Biederer, T. F. Sattel, H. Wojtczyk, W. Tenner, T. Knopp, B. Gleich, J. Borgert, and T. M. Buzug
in: <em>{IEEE} Nuclear Science Symposium and Medical Imaging Conference ({NSS}/{MIC})</em>. (2011).
Volume: Number:
on pages: 2545--2548
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1109/NSSMIC.2011.6152687
URL:
ARXIVID:
PMID:

[BibTex]

Note: inproceedings

Abstract: {Magnetic Particle Imaging} is a promising imaging technique using iron-oxide nanoparticle tracers. The spatial distribution of these particles can be determined by solving a system of linear equations. This reconstruction is based on a system function that either has to be measured or can be calculated with given information about scanner topology and particle characteristics. This paper introduces a new approach combining both possibilities. A Magnetic Particle Spectrometer is used to obtain a hybrid system function. Furthermore, we will show that the hybrid system function can be successfully used for 1D-image reconstruction and potentially is an alternative to the measurement-based system function.