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: martin.moeddel(at)tuhh.de
E-Mail: m.hofmann(at)uke.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

[191963]

Title: Uncertainties of a Spherical Magnetic Field Camera.

Written by: F. Foerger, P. Suskin, M. Boberg, J. Faltinath, T. Knopp and M. Möddel

in: 2025 IEEE SENSORS. (2025).

Volume: Number:

on pages: 1-4

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how published:

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DOI: https://doi.org/10.1109/SENSORS59705.2025.11331079

URL: https://ieeexplore.ieee.org/document/11331079

ARXIVID:

PMID:

[www] [BibTex]

Note: inproceedings

Abstract: Spherical harmonic expansions are well-established tools for estimating magnetic fields from surface measurements and are widely used in applications such as tomographic imaging, geomagnetism, and biomagnetism. Although the mathematical foundations of these expansions are well understood, the impact of real-world imperfections, on the uncertainty of the field model has received little attention. In this work, we present a systematic uncertainty propagation analysis for a magnetic field camera that estimates the field from surface measurements using a spherical array of Hall magnetometers arranged in a spherical t-design. A Monte Carlo-based approach is employed to quantify how sensor-related uncertainties, such as calibration errors and positioning inaccuracies, affect the spatial distribution of the estimated field's uncertainty. The results offer insights into the robustness of spherical harmonic methods and help identify the dominant sources of uncertainty in practical implementations.

[191963]

Title: Uncertainties of a Spherical Magnetic Field Camera.

Written by: F. Foerger, P. Suskin, M. Boberg, J. Faltinath, T. Knopp and M. Möddel

in: 2025 IEEE SENSORS. (2025).

Volume: Number:

on pages: 1-4

Chapter:

Editor:

Publisher:

Series:

Address:

Edition:

ISBN:

how published:

Organization:

School:

Institution:

Type:

DOI: https://doi.org/10.1109/SENSORS59705.2025.11331079

URL: https://ieeexplore.ieee.org/document/11331079

ARXIVID:

PMID:

[www] [BibTex]

Note: inproceedings

Abstract: Spherical harmonic expansions are well-established tools for estimating magnetic fields from surface measurements and are widely used in applications such as tomographic imaging, geomagnetism, and biomagnetism. Although the mathematical foundations of these expansions are well understood, the impact of real-world imperfections, on the uncertainty of the field model has received little attention. In this work, we present a systematic uncertainty propagation analysis for a magnetic field camera that estimates the field from surface measurements using a spherical array of Hall magnetometers arranged in a spherical t-design. A Monte Carlo-based approach is employed to quantify how sensor-related uncertainties, such as calibration errors and positioning inaccuracies, affect the spatial distribution of the estimated field's uncertainty. The results offer insights into the robustness of spherical harmonic methods and help identify the dominant sources of uncertainty in practical implementations.

Conference Proceedings

[191963]

Title: Uncertainties of a Spherical Magnetic Field Camera.

Written by: F. Foerger, P. Suskin, M. Boberg, J. Faltinath, T. Knopp and M. Möddel

in: 2025 IEEE SENSORS. (2025).

Volume: Number:

on pages: 1-4

Chapter:

Editor:

Publisher:

Series:

Address:

Edition:

ISBN:

how published:

Organization:

School:

Institution:

Type:

DOI: https://doi.org/10.1109/SENSORS59705.2025.11331079

URL: https://ieeexplore.ieee.org/document/11331079

ARXIVID:

PMID:

[www] [BibTex]

Note: inproceedings

Abstract: Spherical harmonic expansions are well-established tools for estimating magnetic fields from surface measurements and are widely used in applications such as tomographic imaging, geomagnetism, and biomagnetism. Although the mathematical foundations of these expansions are well understood, the impact of real-world imperfections, on the uncertainty of the field model has received little attention. In this work, we present a systematic uncertainty propagation analysis for a magnetic field camera that estimates the field from surface measurements using a spherical array of Hall magnetometers arranged in a spherical t-design. A Monte Carlo-based approach is employed to quantify how sensor-related uncertainties, such as calibration errors and positioning inaccuracies, affect the spatial distribution of the estimated field's uncertainty. The results offer insights into the robustness of spherical harmonic methods and help identify the dominant sources of uncertainty in practical implementations.

[191963]

Title: Uncertainties of a Spherical Magnetic Field Camera.

Written by: F. Foerger, P. Suskin, M. Boberg, J. Faltinath, T. Knopp and M. Möddel

in: 2025 IEEE SENSORS. (2025).

Volume: Number:

on pages: 1-4

Chapter:

Editor:

Publisher:

Series:

Address:

Edition:

ISBN:

how published:

Organization:

School:

Institution:

Type:

DOI: https://doi.org/10.1109/SENSORS59705.2025.11331079

URL: https://ieeexplore.ieee.org/document/11331079

ARXIVID:

PMID:

[www] [BibTex]

Note: inproceedings

Abstract: Spherical harmonic expansions are well-established tools for estimating magnetic fields from surface measurements and are widely used in applications such as tomographic imaging, geomagnetism, and biomagnetism. Although the mathematical foundations of these expansions are well understood, the impact of real-world imperfections, on the uncertainty of the field model has received little attention. In this work, we present a systematic uncertainty propagation analysis for a magnetic field camera that estimates the field from surface measurements using a spherical array of Hall magnetometers arranged in a spherical t-design. A Monte Carlo-based approach is employed to quantify how sensor-related uncertainties, such as calibration errors and positioning inaccuracies, affect the spatial distribution of the estimated field's uncertainty. The results offer insights into the robustness of spherical harmonic methods and help identify the dominant sources of uncertainty in practical implementations.

Dr. rer. nat. Martin Möddel (Hofmann)

Research Interests

Curriculum Vitae

Journal Publications

Conference Proceedings

TU Hamburg

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