IBI: Martin Möddel

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 on tomographic imaging is primarily focused on magnetic particle imaging. In this context, I am engaged in the study of a number of problems, including:

Image reconstruction
- Multi-contrast imaging
- Multi-patch imaging
- Artifact reduction
Magnetic field generation and characterisation
Receive path calibration

Curriculum Vitae

Martin Möddel is a postdoctoral researcher 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 the topic of characterizing quantum correlations: the genuine multiparticle negativity as entanglement monotone. Prior to his PhD, he studied physics at the Universität Leipzig between 2005 and 2011, where he received his Diplom On the costratified Hilbert space structure of a lattice gauge model with semi-simple gauge group.

Journal Publications

[132510]

Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging.

Written by: M. Boberg, T. Knopp, and M. Möddel

in: 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019). (2019).

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on pages: 73-74

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[BibTex]

Note: inproceedings, multi-patch, magneticfield

Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.

[132510]

Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging.

Written by: M. Boberg, T. Knopp, and M. Möddel

in: 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019). (2019).

Volume: Number:

on pages: 73-74

Chapter:

Editor:

Publisher:

Series:

Address:

Edition:

ISBN:

how published:

Organization:

School:

Institution:

Type:

DOI:

URL:

ARXIVID:

PMID:

[BibTex]

Note: inproceedings, multi-patch, magneticfield

Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.

Conference Proceedings

[132510]

Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging.

Written by: M. Boberg, T. Knopp, and M. Möddel

in: 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019). (2019).

Volume: Number:

on pages: 73-74

Chapter:

Editor:

Publisher:

Series:

Address:

Edition:

ISBN:

how published:

Organization:

School:

Institution:

Type:

DOI:

URL:

ARXIVID:

PMID:

[BibTex]

Note: inproceedings, multi-patch, magneticfield

Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.

[132510]

Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging.

Written by: M. Boberg, T. Knopp, and M. Möddel

in: 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019). (2019).

Volume: Number:

on pages: 73-74

Chapter:

Editor:

Publisher:

Series:

Address:

Edition:

ISBN:

how published:

Organization:

School:

Institution:

Type:

DOI:

URL:

ARXIVID:

PMID:

[BibTex]

Note: inproceedings, multi-patch, magneticfield

Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.

Dr. rer. nat. Martin Möddel (Hofmann)

Research Interests

Curriculum Vitae

Journal Publications

Conference Proceedings

TU Hamburg

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