Dr. rer. nat. Martin Möddel (Hofmann)

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 212
22529 Hamburg
- Postanschrift -

Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude E, Raum 4.044
Am Schwarzenberg-Campus 3
21073 Hamburg

Tel.: 040 / 7410 56309
E-Mail: m.hofmann(at)uke.de
E-Mail: martin.hofmann(at)tuhh.de
ORCID: https://orcid.org/0000-0002-4737-7863

Research Interests

My research focus is magnetic particle imaging, where I study a number problems such as:

  • Multi-contrast imaging
  • Image reconstruction
  • Signal processing

Curriculum Vitae

Martin Möddel is a postdoc in the group of Tobias Knopp for experimental Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology. He received his PhD in physics from the Universität Siegen in 2014 on Characterizing quantum correlations: the genuine multiparticle negativity as entanglement monotone. Prior to his PhD in between 2005-2011 he studied physics at the Universität Leipzig, where he recieved his Diplom On the costratified Hilbert space structure of a lattice gauge model with semi-simple gauge group.

Journal Publications

[100542]
Title: Viscosity quantification using multi-contrast magnetic particle imaging.
Written by: M. Möddel, C. Meins, J. Dieckhoff, and T. Knopp
in: <em>New Journal of Physics</em>. (2018).
Volume: <strong>20</strong>. Number: (8),
on pages: 083001
Chapter:
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how published:
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DOI: 10.1088/1367-2630/aad44b
URL: http://iopscience.iop.org/article/10.1088/1367-2630/aad44b
ARXIVID:
PMID:

[www] [BibTex]

Note: article, multi-contrast, openaccess

Abstract: Abstract Magnetic particle imaging (MPI) is a relatively new tomographic imaging technique using static and oscillating magnetic fields to image the spatial distribution of magnetic nanoparticles. The latter being the contrast MPI has been initially designed for. However, recently it has been shown that MPI can be extended to a multi-contrast method that allows to simultaneously image the signals of different MPI tracer materials. Additionally, it has been shown that changes in the particles environment, e.g. the viscosity have an impact on the MPI signal and can potentially be used for functional imaging. The purpose of the present work is twofold. First, we generalize the MPI imaging equation to describe different multi-contrast settings in a unified framework. This allows for more precise interpretation and discussion of results obtained by single- and multi-contrast reconstruction. Second, we propose and validate a method that allows to determine the viscosity of a small sample from a dual-contrast reconstruction. To this end, we exploit a calibration curve mapping the sample viscosity onto the relative signal weights within the channels of the dual-contrast reconstruction. The latter allows us to experimentally determine the viscosity of the particle environment in the range of 1 mPas to 51.8 mPas with a relative methodological error of less than 6%.

[100542]
Title: Viscosity quantification using multi-contrast magnetic particle imaging.
Written by: M. Möddel, C. Meins, J. Dieckhoff, and T. Knopp
in: <em>New Journal of Physics</em>. (2018).
Volume: <strong>20</strong>. Number: (8),
on pages: 083001
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1088/1367-2630/aad44b
URL: http://iopscience.iop.org/article/10.1088/1367-2630/aad44b
ARXIVID:
PMID:

[www] [BibTex]

Note: article, multi-contrast, openaccess

Abstract: Abstract Magnetic particle imaging (MPI) is a relatively new tomographic imaging technique using static and oscillating magnetic fields to image the spatial distribution of magnetic nanoparticles. The latter being the contrast MPI has been initially designed for. However, recently it has been shown that MPI can be extended to a multi-contrast method that allows to simultaneously image the signals of different MPI tracer materials. Additionally, it has been shown that changes in the particles environment, e.g. the viscosity have an impact on the MPI signal and can potentially be used for functional imaging. The purpose of the present work is twofold. First, we generalize the MPI imaging equation to describe different multi-contrast settings in a unified framework. This allows for more precise interpretation and discussion of results obtained by single- and multi-contrast reconstruction. Second, we propose and validate a method that allows to determine the viscosity of a small sample from a dual-contrast reconstruction. To this end, we exploit a calibration curve mapping the sample viscosity onto the relative signal weights within the channels of the dual-contrast reconstruction. The latter allows us to experimentally determine the viscosity of the particle environment in the range of 1 mPas to 51.8 mPas with a relative methodological error of less than 6%.

Conference Proceedings

[100542]
Title: Viscosity quantification using multi-contrast magnetic particle imaging.
Written by: M. Möddel, C. Meins, J. Dieckhoff, and T. Knopp
in: <em>New Journal of Physics</em>. (2018).
Volume: <strong>20</strong>. Number: (8),
on pages: 083001
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1088/1367-2630/aad44b
URL: http://iopscience.iop.org/article/10.1088/1367-2630/aad44b
ARXIVID:
PMID:

[www] [BibTex]

Note: article, multi-contrast, openaccess

Abstract: Abstract Magnetic particle imaging (MPI) is a relatively new tomographic imaging technique using static and oscillating magnetic fields to image the spatial distribution of magnetic nanoparticles. The latter being the contrast MPI has been initially designed for. However, recently it has been shown that MPI can be extended to a multi-contrast method that allows to simultaneously image the signals of different MPI tracer materials. Additionally, it has been shown that changes in the particles environment, e.g. the viscosity have an impact on the MPI signal and can potentially be used for functional imaging. The purpose of the present work is twofold. First, we generalize the MPI imaging equation to describe different multi-contrast settings in a unified framework. This allows for more precise interpretation and discussion of results obtained by single- and multi-contrast reconstruction. Second, we propose and validate a method that allows to determine the viscosity of a small sample from a dual-contrast reconstruction. To this end, we exploit a calibration curve mapping the sample viscosity onto the relative signal weights within the channels of the dual-contrast reconstruction. The latter allows us to experimentally determine the viscosity of the particle environment in the range of 1 mPas to 51.8 mPas with a relative methodological error of less than 6%.

[100542]
Title: Viscosity quantification using multi-contrast magnetic particle imaging.
Written by: M. Möddel, C. Meins, J. Dieckhoff, and T. Knopp
in: <em>New Journal of Physics</em>. (2018).
Volume: <strong>20</strong>. Number: (8),
on pages: 083001
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1088/1367-2630/aad44b
URL: http://iopscience.iop.org/article/10.1088/1367-2630/aad44b
ARXIVID:
PMID:

[www] [BibTex]

Note: article, multi-contrast, openaccess

Abstract: Abstract Magnetic particle imaging (MPI) is a relatively new tomographic imaging technique using static and oscillating magnetic fields to image the spatial distribution of magnetic nanoparticles. The latter being the contrast MPI has been initially designed for. However, recently it has been shown that MPI can be extended to a multi-contrast method that allows to simultaneously image the signals of different MPI tracer materials. Additionally, it has been shown that changes in the particles environment, e.g. the viscosity have an impact on the MPI signal and can potentially be used for functional imaging. The purpose of the present work is twofold. First, we generalize the MPI imaging equation to describe different multi-contrast settings in a unified framework. This allows for more precise interpretation and discussion of results obtained by single- and multi-contrast reconstruction. Second, we propose and validate a method that allows to determine the viscosity of a small sample from a dual-contrast reconstruction. To this end, we exploit a calibration curve mapping the sample viscosity onto the relative signal weights within the channels of the dual-contrast reconstruction. The latter allows us to experimentally determine the viscosity of the particle environment in the range of 1 mPas to 51.8 mPas with a relative methodological error of less than 6%.