Fabian Mohn, M.Sc.

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 203
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 25812
E-Mail: f.mohn(at)uke.de
E-Mail: fabian.mohn(at)tuhh.de
ORCID:  https://orcid.org/0000-0002-9151-9929

Research Interests

  • (arbitrary waveform) Magnetic Particle Imaging
  • inductive sensors, filters and resonant transformers
  • circuit design, impedance matching
  • applications in Magnetic Particle Imaging

Curriculum Vitae

Fabian Mohn studied Electrical Engineering at the Hamburg University of Technology (TUHH) and he joined the group of Tobias Knopp for Biomedical Imaging at the University Medical Center Hamburg-Eppendorf (UKE) and the Hamburg University of Technology in 2020 as a PhD student. Working at Philips Research Laboratories Hamburg, he received his master's degree in 2018 on the Analysis and Optimization of the Signal-to-Noise Ratio for Receive Arrays in Magnetic Resonance Imaging.

Journal Publications

[183657]
Title: A Novel Approach to FFL Trajectory Analysis.
Written by: F. Niebel, J. Schumacher, F. Mohn, M. Ahlborg, T.M. Buzug, and M. Graeser
in: <em>International Journal on Magnetic Particle Imaging IJMPI</em>. mar (2023).
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on pages: 9.(1),
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DOI: 10.18416/IJMPI.2023.2303074
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/612
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[www]

Note: inproceedings, instrumentation

Abstract: The sampling trajectory is an important parameter of a magnetic particle imaging (MPI) system and should be selected in order to guarantee the best image quality constrained by hardware limitations. A simulation study is performed with the side conditions of a permanent magnet-based field-free line (FFL) scanner system evaluating multiple trajectory types (radial, spiral, uniformspiral, flower) and trajectory densities in terms of spatial resolution. The findings provide information on suitable FFL trajectories and indicate initial trends for advantageous sampling patterns in the reference system. Within the used software framework, which has the potential to generate sequences based on real measurement data, we present here a novel approach to FFL trajectory analysis.

Conference Proceedings

[183657]
Title: A Novel Approach to FFL Trajectory Analysis.
Written by: F. Niebel, J. Schumacher, F. Mohn, M. Ahlborg, T.M. Buzug, and M. Graeser
in: <em>International Journal on Magnetic Particle Imaging IJMPI</em>. mar (2023).
Volume: Number:
on pages: 9.(1),
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2023.2303074
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/612
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings, instrumentation

Abstract: The sampling trajectory is an important parameter of a magnetic particle imaging (MPI) system and should be selected in order to guarantee the best image quality constrained by hardware limitations. A simulation study is performed with the side conditions of a permanent magnet-based field-free line (FFL) scanner system evaluating multiple trajectory types (radial, spiral, uniformspiral, flower) and trajectory densities in terms of spatial resolution. The findings provide information on suitable FFL trajectories and indicate initial trends for advantageous sampling patterns in the reference system. Within the used software framework, which has the potential to generate sequences based on real measurement data, we present here a novel approach to FFL trajectory analysis.