Florian Thieben, M.Sc.
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 25812
E-Mail: f.thieben(at)uke.de
E-Mail: florian.thieben(at)tuhh.de
Research Interests
- Magnetic Particle Imaging
- Low Noise Electronics
- Inductive Sensors
Curriculum Vitae
Florian Thieben 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. In 2017 he graduated with a master's degree thesis on “Entwicklung eines kompakten Magnet Partikel Spektrometers mit gradiometrischer Empfangskette".
Journal Publications
| [120372] |
| Title: Interpretation of Cartesian Data based on a Simulated Human-Sized MPI Brain Imager. <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em> |
| Written by: P. Szwargulski, M. Graeser, F. Thieben, N. Gdaniec, F. Werner, M. Boberg, F. Griese, M. Möddel, and T. Knopp |
| in: (2019). |
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| on pages: 37-38 |
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Note: inproceedings, brainimager
Abstract: Recently the first proof of concept for a human scaled MPI scanner for brain applications was presented. It features a new imaging concept with a mechanically moveable selection field and uses a dynamic Cartesian imaging sequence. In this work, different kinds of data processing and image reconstruction approaches for Cartesian sequences are compared.
Conference Publications
| [120372] |
| Title: Interpretation of Cartesian Data based on a Simulated Human-Sized MPI Brain Imager. <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em> |
| Written by: P. Szwargulski, M. Graeser, F. Thieben, N. Gdaniec, F. Werner, M. Boberg, F. Griese, M. Möddel, and T. Knopp |
| in: (2019). |
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| on pages: 37-38 |
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Note: inproceedings, brainimager
Abstract: Recently the first proof of concept for a human scaled MPI scanner for brain applications was presented. It features a new imaging concept with a mechanically moveable selection field and uses a dynamic Cartesian imaging sequence. In this work, different kinds of data processing and image reconstruction approaches for Cartesian sequences are compared.