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

[164735]
Title: Two-Step Reconstruction with Spatially Adaptive Regularization for Increasing the Dynamic Range in MPI.
Written by: M. Boberg and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2022).
Volume: <strong>8</strong>. Number: (1),
on pages: 1-4
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DOI: 10.18416/IJMPI.2022.2203044
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/390
ARXIVID:
PMID:

[www]

Note: inproceedings, artifact

Abstract: Magnetic particle imaging is capable of determining very small concentrations of particles if only a single concentration is present in the field-of-view. Meanwhile the determination of particles with widely differing concentrations is still challenging. In a recent work, we introduced a two-step reconstruction method that tackles this problem by isolating the signal of the lower concentrated tracer for a separate reconstruction. In this work, we adapt the two-step reconstruction method in order to apply a joint reconstruction to the entire signal of all particle concentrations. This is achieved by spatially adaptive Tikhonov regularization.

Conference Proceedings

[164735]
Title: Two-Step Reconstruction with Spatially Adaptive Regularization for Increasing the Dynamic Range in MPI.
Written by: M. Boberg and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2022).
Volume: <strong>8</strong>. Number: (1),
on pages: 1-4
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2022.2203044
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/390
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings, artifact

Abstract: Magnetic particle imaging is capable of determining very small concentrations of particles if only a single concentration is present in the field-of-view. Meanwhile the determination of particles with widely differing concentrations is still challenging. In a recent work, we introduced a two-step reconstruction method that tackles this problem by isolating the signal of the lower concentrated tracer for a separate reconstruction. In this work, we adapt the two-step reconstruction method in order to apply a joint reconstruction to the entire signal of all particle concentrations. This is achieved by spatially adaptive Tikhonov regularization.