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

[178600]
Title: Extrapolation of System Matrices in Magnetic Particle Imaging.
Written by: K. Scheffler, M. Boberg, and T. Knopp
in: <em>IEEE Transactions on Medical Imaging</em>. April (2023).
Volume: <strong>42</strong>. Number: (4),
on pages: 1121 - 1132
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DOI: 10.1109/TMI.2022.3224310
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[pdf]

Note: article, multi-patch, artifact, openaccess

Abstract: Magnetic particle imaging exploits the non-linear magnetization of superparamagnetic iron-oxide particles to generate a tomographic image in a defined field-of-view. For reconstruction of the particle distribution, a time-consuming calibration step is required, in which system matrices get measured using a robot. To achieve artifact-free images, system matrices need to cover not only the field-of-view but also a larger area around it. Especially for large measurements – inevitable for future clinical application – this leads to long calibration time and high consumption of persistent memory. In this work, we analyze the signal in the outer part of the system matrix and motivate the usage of extrapolation methods to computationally expand the system matrix after restricting the calibration to the field-of-view. We propose a suitable extrapolation method and show its applicability on measured 2D and 3D data. In doing so, we achieve a considerable reduction of calibration time and consumption of persistent memory while preserving an artifact-free result.

Conference Proceedings

[178600]
Title: Extrapolation of System Matrices in Magnetic Particle Imaging.
Written by: K. Scheffler, M. Boberg, and T. Knopp
in: <em>IEEE Transactions on Medical Imaging</em>. April (2023).
Volume: <strong>42</strong>. Number: (4),
on pages: 1121 - 1132
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1109/TMI.2022.3224310
URL:
ARXIVID:
PMID:

[pdf] [BibTex]

Note: article, multi-patch, artifact, openaccess

Abstract: Magnetic particle imaging exploits the non-linear magnetization of superparamagnetic iron-oxide particles to generate a tomographic image in a defined field-of-view. For reconstruction of the particle distribution, a time-consuming calibration step is required, in which system matrices get measured using a robot. To achieve artifact-free images, system matrices need to cover not only the field-of-view but also a larger area around it. Especially for large measurements – inevitable for future clinical application – this leads to long calibration time and high consumption of persistent memory. In this work, we analyze the signal in the outer part of the system matrix and motivate the usage of extrapolation methods to computationally expand the system matrix after restricting the calibration to the field-of-view. We propose a suitable extrapolation method and show its applicability on measured 2D and 3D data. In doing so, we achieve a considerable reduction of calibration time and consumption of persistent memory while preserving an artifact-free result.