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

[183656]
Title: Model-based voltage predictions for arbitrary waveform excitation in Magnetic Particle Imaging.
Written by: J. Ackers, F. Mohn, N. Hackelberg, T. Knopp, T.M. Buzug, and M. Graeser
in: <em>International Journal on Magnetic Particle Imaging IJMPI</em>. mar (2023).
Volume: Number:
on pages: 9.(1).
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DOI: 10.18416/IJMPI.2023.2303088
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/608
ARXIVID:
PMID:

[www]

Note: inproceedings, instrumentation

Abstract: In recent works, arbitrary waveform or pulsed excitation in Magnetic Particle Imaging (MPI) was proposed to offer better resolution and sensitivity. Generating these excitation fields poses a new challenge in MPI hardware design. This work proposes a method which models the excitation chain as a linear system and predicts the required input voltage for the desired output field. The initial prediction is then iteratively improved to compensate for inaccuracies of the model. The method is demonstrated to achieve accurate field waveforms in both linear and slew rate limited regions of the amplifier.

Conference Proceedings

[183656]
Title: Model-based voltage predictions for arbitrary waveform excitation in Magnetic Particle Imaging.
Written by: J. Ackers, F. Mohn, N. Hackelberg, T. Knopp, 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.2023.2303088
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/608
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings, instrumentation

Abstract: In recent works, arbitrary waveform or pulsed excitation in Magnetic Particle Imaging (MPI) was proposed to offer better resolution and sensitivity. Generating these excitation fields poses a new challenge in MPI hardware design. This work proposes a method which models the excitation chain as a linear system and predicts the required input voltage for the desired output field. The initial prediction is then iteratively improved to compensate for inaccuracies of the model. The method is demonstrated to achieve accurate field waveforms in both linear and slew rate limited regions of the amplifier.