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

[191079]
Title: Recent Progress in Model-Based Reconstruction using Approximate Particle Models and low Calibration Effort.
Written by: T. Kluth, H. Albers, M. Maass, C. Droigk, M. Boberg, F. Thieben, K. Scheffler, and T. Knopp
in: <em>13th International Workshop on Magnetic Particle Imaging (IWMPI 2024)</em>. (2024).
Volume: <strong>10</strong>. Number: (1 Suppl 1),
on pages: 1
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URL: https://www.journal.iwmpi.org/index.php/iwmpi/article/view/687
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[www]

Note: inproceedings, model-based

Abstract: In magnetic particle imaging (MPI) one of the key challenges is still the model-based reconstruction problem particularly when using multi-dimensional Lissajous-type excitation. Already during the last IWMPI 2023 promising results towards a solution to this key problem have been presented from different groups. A combination of realistic physical modeling of the nanoparticles' magnetization behavior and a careful calibration of the remaining scanner components result in improved model-based reconstructions when compared to the fully calibrated system matrix approach. In addition, the question has been asked to which extent the equilibrium model can be extended to include particle anisotropy, which significantly increases the accuracy of the model while still keeping the computational effort low. The previous findings from different groups at the last IWMPI provided the starting point for a larger joint collaboration where we extended the previous results by an extensive series of experiments which showcase that the model-based reconstruction can be applied in aligned and unaligned immobilized cases but even more important also to fluid cases. In this IWMPI contribution we present an update on the ongoing works in the consortium addressing the key problem of model-based reconstruction in MPI for multi-dimensional Lissajous-type excitation. We showcase the accuracy and the computational effort for model evaluation on different system matrices and various particle phantoms being measured recently on the Bruker preclinical MPI system.

Conference Proceedings

[191079]
Title: Recent Progress in Model-Based Reconstruction using Approximate Particle Models and low Calibration Effort.
Written by: T. Kluth, H. Albers, M. Maass, C. Droigk, M. Boberg, F. Thieben, K. Scheffler, and T. Knopp
in: <em>13th International Workshop on Magnetic Particle Imaging (IWMPI 2024)</em>. (2024).
Volume: <strong>10</strong>. Number: (1 Suppl 1),
on pages: 1
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: https://www.journal.iwmpi.org/index.php/iwmpi/article/view/687
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings, model-based

Abstract: In magnetic particle imaging (MPI) one of the key challenges is still the model-based reconstruction problem particularly when using multi-dimensional Lissajous-type excitation. Already during the last IWMPI 2023 promising results towards a solution to this key problem have been presented from different groups. A combination of realistic physical modeling of the nanoparticles' magnetization behavior and a careful calibration of the remaining scanner components result in improved model-based reconstructions when compared to the fully calibrated system matrix approach. In addition, the question has been asked to which extent the equilibrium model can be extended to include particle anisotropy, which significantly increases the accuracy of the model while still keeping the computational effort low. The previous findings from different groups at the last IWMPI provided the starting point for a larger joint collaboration where we extended the previous results by an extensive series of experiments which showcase that the model-based reconstruction can be applied in aligned and unaligned immobilized cases but even more important also to fluid cases. In this IWMPI contribution we present an update on the ongoing works in the consortium addressing the key problem of model-based reconstruction in MPI for multi-dimensional Lissajous-type excitation. We showcase the accuracy and the computational effort for model evaluation on different system matrices and various particle phantoms being measured recently on the Bruker preclinical MPI system.