Marija Boberg, M. Sc.

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 213
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 25813
E-Mail: m.boberg(at)uke.de
E-Mail: marija.boberg(at)tuhh.de
ORCID: https://orcid.org/0000-0003-3419-7481

Research Interests

  • Magnetic Particle Imaging
  • Image Reconstruction
  • Magnetic Fields

Curriculum Vitae

Marija Boberg studied mathematics at the University of Paderborn between 2011 and 2017. She received her master's degree with her thesis on "Analyse von impliziten Lösern für Differential-Algebraische Gleichungssysteme unter Verwendung von Algorithmischem Differenzieren". Currently, she is a PhD student in the group of Tobias Knopp for Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology.

Journal Publications

[122486]
Title: Human-sized Magnetic Particle Imaging for Brain Applications.
Written by: M. Graeser, F. Thieben, P. Szwargulski, F. Werner, N. Gdaniec, M. Boberg, F. Griese, M. Möddel, P. Ludewig, D. van de Ven, O.M. Weber, O. Woywode, B. Gleich, and T. Knopp
in: <em>Nature Communications</em>. (2019).
Volume: <strong>10</strong>. Number: (1936),
on pages: 1-9
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1038/s41467-019-09704-x
URL: https://www.nature.com/articles/s41467-019-09704-x
ARXIVID:
PMID:

[www]

Note: article, brainimager, openaccess

Abstract: Determining the brain perfusion is an important task for diagnosis of vascular diseases such as occlusions and intracerebral haemorrhage. Even after successful diagnosis, there is a high risk of restenosis or rebleeding such that patients need intense attention in the days after treatment. Within this work, we present a diagnostic tomographic imager that allows access to brain perfusion quantitatively in short intervals. The device is based on the magnetic particle imaging technology and is designed for human scale. It is highly sensitive and allows the detection of an iron concentration of 263 pmol(Fe)/ml, which is one of the lowest iron concentrations imaged by MPI so far. The imager is self-shielded and can be used in unshielded environments such as intensive care units. In combination with the low technical requirements this opens up a variety of medical applications and would allow monitoring of stroke on intensive care units.

Conference Proceedings

[122486]
Title: Human-sized Magnetic Particle Imaging for Brain Applications.
Written by: M. Graeser, F. Thieben, P. Szwargulski, F. Werner, N. Gdaniec, M. Boberg, F. Griese, M. Möddel, P. Ludewig, D. van de Ven, O.M. Weber, O. Woywode, B. Gleich, and T. Knopp
in: <em>Nature Communications</em>. (2019).
Volume: <strong>10</strong>. Number: (1936),
on pages: 1-9
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1038/s41467-019-09704-x
URL: https://www.nature.com/articles/s41467-019-09704-x
ARXIVID:
PMID:

[www] [BibTex]

Note: article, brainimager, openaccess

Abstract: Determining the brain perfusion is an important task for diagnosis of vascular diseases such as occlusions and intracerebral haemorrhage. Even after successful diagnosis, there is a high risk of restenosis or rebleeding such that patients need intense attention in the days after treatment. Within this work, we present a diagnostic tomographic imager that allows access to brain perfusion quantitatively in short intervals. The device is based on the magnetic particle imaging technology and is designed for human scale. It is highly sensitive and allows the detection of an iron concentration of 263 pmol(Fe)/ml, which is one of the lowest iron concentrations imaged by MPI so far. The imager is self-shielded and can be used in unshielded environments such as intensive care units. In combination with the low technical requirements this opens up a variety of medical applications and would allow monitoring of stroke on intensive care units.