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

[191087]
Title: System Characterization of a Human-Sized 3D Real-Time Magnetic Particle Imaging Scanner for Cerebral Applications.
Written by: F. Thieben, F. Foerger, F. Mohn, N. Hackelberg, M. Boberg, J.-P. Scheel, Möddel, M. Graeser, and T. Knopp
in: <em>Communications Engineering</em>. (2024).
Volume: <strong>3</strong>. Number: (1),
on pages: 47
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DOI: 10.1038/s44172-024-00192-6
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Note: article, openaccess, brainimager

Abstract: Abstract Since the initial patent in 2001, the Magnetic Particle Imaging community has endeavored to develop a human-applicable Magnetic Particle Imaging scanner, incorporating contributions from various research fields. Here we present an improved head-sized Magnetic Particle Imaging scanner with low power consumption, operated by open-source software and characterize it with an emphasis on human safety. The focus is on the evaluation of the technical components and on phantom experiments for brain perfusion. We achieved 3D single- and multi-contrast imaging at 4 Hz frame rate. The system characterization includes sensitivity, resolution, perfusion and multi-contrast experiments as well as field measurements and sequence analysis. Images were acquired with a clinically approved tracer and within human peripheral nerve stimulation thresholds. This advanced scanner holds potential as a tomographic imager for diagnosing conditions such as ischemic stroke (different stages) or intracranial hemorrhage in environments lacking electromagnetic shielding, such as the intensive care unit.

Conference Proceedings

[191087]
Title: System Characterization of a Human-Sized 3D Real-Time Magnetic Particle Imaging Scanner for Cerebral Applications.
Written by: F. Thieben, F. Foerger, F. Mohn, N. Hackelberg, M. Boberg, J.-P. Scheel, Möddel, M. Graeser, and T. Knopp
in: <em>Communications Engineering</em>. (2024).
Volume: <strong>3</strong>. Number: (1),
on pages: 47
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1038/s44172-024-00192-6
URL:
ARXIVID:
PMID:

[BibTex]

Note: article, openaccess, brainimager

Abstract: Abstract Since the initial patent in 2001, the Magnetic Particle Imaging community has endeavored to develop a human-applicable Magnetic Particle Imaging scanner, incorporating contributions from various research fields. Here we present an improved head-sized Magnetic Particle Imaging scanner with low power consumption, operated by open-source software and characterize it with an emphasis on human safety. The focus is on the evaluation of the technical components and on phantom experiments for brain perfusion. We achieved 3D single- and multi-contrast imaging at 4 Hz frame rate. The system characterization includes sensitivity, resolution, perfusion and multi-contrast experiments as well as field measurements and sequence analysis. Images were acquired with a clinically approved tracer and within human peripheral nerve stimulation thresholds. This advanced scanner holds potential as a tomographic imager for diagnosing conditions such as ischemic stroke (different stages) or intracranial hemorrhage in environments lacking electromagnetic shielding, such as the intensive care unit.