Fynn Förger, 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: fynn.foerger(at)tuhh.de
E-Mail: f.foerger(at)uke.de
ORCID: https://orcid.org/0000-0002-3865-4603

Research Interests

  • Magnetic Particle Imaging

Curriculum Vitae

Fynn Förger studied physics at the University of Hamburg between 2012 and 2018. He received his master's degree with distiction on his thesis "Manipulation und Abbildung ultrakalter Fermigase". Currently, he is a PhD student in the group of Tobias Knopp for experimental Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology.

Journal Publications

[140972]
Title: Magnetic particle imaging for assessment of cerebral perfusion and ischemia.
Written by: P. Ludewig, M. Graeser, N. D. Forkert, F. Thieben, J. Rández-Garbayo, J. Rieckhoff, K. Lessmann, F. Foerger, P. Szwargulski, T. Magnus, and T. Knopp
in: <em>Wiley Interdiscip Rev Nanomed Nanobiotechnol</em>. (2022).
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DOI: 10.1002/wnan.1757
URL: https://pubmed.ncbi.nlm.nih.gov/34617413/
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[www] [BibTex]

Note: article, openaccess

Abstract: Stroke is one of the leading worldwide causes of death and sustained disability. Rapid and accurate assessment of cerebral perfusion is essential to diagnose and successfully treat stroke patients. Magnetic particle imaging (MPI) is a new technology with the potential to overcome some limitations of established imaging modalities. It is an innovative and radiation-free imaging technique with high sensitivity, specificity, and superior temporal resolution. MPI enables imaging and diagnosis of stroke and other neurological pathologies such as hemorrhage, tumors, and inflammatory processes. MPI scanners also offer the potential for targeted therapies of these diseases. Due to lower field requirements, MPI scanners can be designed as resistive magnets and employed as mobile devices for bedside imaging. With these advantages, MPI could accelerate and improve the diagnosis and treatment of neurological disorders. This review provides a basic introduction to MPI, discusses its current use for stroke imaging, and addresses future applications, including the potential for clinical implementation. This article is categorized under: Diagnostic Tools > In Vivo Nanodiagnostics and Imaging Therapeutic Approaches and Drug Discovery > Nanomedicine for Neurological Disease.

Conference Proceedings

[140972]
Title: Magnetic particle imaging for assessment of cerebral perfusion and ischemia.
Written by: P. Ludewig, M. Graeser, N. D. Forkert, F. Thieben, J. Rández-Garbayo, J. Rieckhoff, K. Lessmann, F. Foerger, P. Szwargulski, T. Magnus, and T. Knopp
in: <em>Wiley Interdiscip Rev Nanomed Nanobiotechnol</em>. (2022).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1002/wnan.1757
URL: https://pubmed.ncbi.nlm.nih.gov/34617413/
ARXIVID:
PMID:

[www] [BibTex]

Note: article, openaccess

Abstract: Stroke is one of the leading worldwide causes of death and sustained disability. Rapid and accurate assessment of cerebral perfusion is essential to diagnose and successfully treat stroke patients. Magnetic particle imaging (MPI) is a new technology with the potential to overcome some limitations of established imaging modalities. It is an innovative and radiation-free imaging technique with high sensitivity, specificity, and superior temporal resolution. MPI enables imaging and diagnosis of stroke and other neurological pathologies such as hemorrhage, tumors, and inflammatory processes. MPI scanners also offer the potential for targeted therapies of these diseases. Due to lower field requirements, MPI scanners can be designed as resistive magnets and employed as mobile devices for bedside imaging. With these advantages, MPI could accelerate and improve the diagnosis and treatment of neurological disorders. This review provides a basic introduction to MPI, discusses its current use for stroke imaging, and addresses future applications, including the potential for clinical implementation. This article is categorized under: Diagnostic Tools > In Vivo Nanodiagnostics and Imaging Therapeutic Approaches and Drug Discovery > Nanomedicine for Neurological Disease.