IBI: Marija Boberg

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

[120378]

Title: Determining Perfusion Parameters using Magnetic Particle Imaging: A Phantom Study using a Human-Sized Flow Phantom. <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em>

Written by: N. Gdaniec, M. Graeser, F. Thieben, P Szwargulski, F. Werner, M. Boberg, F. Griese, M. Möddel, P. Ludewig, D. van de Ven, O. M. Weber, O. Woywode, B. Gleich, and T. Knopp

in: (2019).

Volume: Number:

on pages: 151-152

Chapter:

Editor:

Publisher:

Series:

Address:

Edition:

ISBN:

how published:

Organization:

School:

Institution:

Type:

DOI:

URL:

ARXIVID:

PMID:

Note: inproceedings, brainimager

Abstract: The determination of brain perfusion is an important issue for the diagnosis and treatment of vascular diseases. We designed a human-sized dynamic flow phantom mimicking the perfusion properties of the brain and used the human-sized MPI head scanner to acquire data from dynamic bolus injection experiments. A stroke was simulated by occluding one of the feeding hoses. We derived perfusion parameter maps from these data and were able to detect the simulated stroke.

Conference Proceedings