Dr.-Ing. Matthias Gräser

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 212
22529 Hamburg

Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude E, Raum 4.044
Am Schwarzenberg-Campus 3
21073 Hamburg

Tel.: 040 / 7410 25812
E-Mail: matthias.graeser(at)tuhh.de
E-Mail: ma.graeser(at)uke.de

Research Interests

  • Magnetic Particle Imaging
  • Low Noise Electronics
  • Inductive Sensors
  • Passive Electrical Devices

Curriculum Vitae

Matthias Gräser submitted his Dr.-Ing. thesis in january 2016 at the institute of medical engineering (IMT) at the university of Lübeck and is now working as a Research Scientist at the institute for biomedical imaging (IBI) at the technical university in Hamburg, Germany.  Here he develops concepts for Magnetic-Particle-Imaging (MPI) devices. His main aim is to improve the sensitivity of the imageing devices and improve resolution and application possibilities of MPI technology.

In 2011 Matthias Gräser started to work at the IMT as a Research Associate in the Magnetic Particle Imaging Technology (MAPIT) project. In this project he devolped the analog signal chains for a rabbit sized field free line imager. Additionally he developed a two-dimensional Magnetic-Particle-Spectrometer. This device can apply various field sequences and measure the particle response with a very high signal-to-noise ratio (SNR).

The dynamic behaviour of magnetic nanoparticles is still not fully understood. Matthias Gräser investigated the particle behaviour by modeling the particle behaviour with stochastic differential equations. With this model it is possible to simulate the impact of several particle parameters and field sequences on the particle response .

In 2010 Matthias Gräser finished his diploma at the Karlsruhe Institue of Technology (KIT). His diploma thesis investigated the nerve stimulation of magnetic fields in the range from 4 kHz to 25 kHz.

Journal Publications

Journal Publications

[191957]
Title: Software Implementation of Greedy Optimized MPS Sequences.
Written by: N. Hackelberg, J. Ackers, F. Mohn, M. Graeser, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2025).
Volume: <strong>11</strong>. Number: (1 Suppl 1),
on pages: 1-2
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DOI: https://doi.org/10.18416/IJMPI.2025.2503043
URL: https://www.journal.iwmpi.org/index.php/iwmpi/article/view/844
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings

Abstract: Multi-dimensional magnetic particle spectrometers provide fast and high quality hybrid system matrix measurements, using different DC offsets to emulate the same saturation that magnetic nanoparticles are exposed to in a real scanner. The electrical implementation of these offsets poses signal generation challenges that impact runtime and power dissipation. In this work, we address the challenges of minimizing sign changes of DC sources with H-bridges and efficient offset sorting for arbitrary numbers of offset channels.

Conference Proceedings

Conference Proceedings

[191957]
Title: Software Implementation of Greedy Optimized MPS Sequences.
Written by: N. Hackelberg, J. Ackers, F. Mohn, M. Graeser, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2025).
Volume: <strong>11</strong>. Number: (1 Suppl 1),
on pages: 1-2
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.18416/IJMPI.2025.2503043
URL: https://www.journal.iwmpi.org/index.php/iwmpi/article/view/844
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings

Abstract: Multi-dimensional magnetic particle spectrometers provide fast and high quality hybrid system matrix measurements, using different DC offsets to emulate the same saturation that magnetic nanoparticles are exposed to in a real scanner. The electrical implementation of these offsets poses signal generation challenges that impact runtime and power dissipation. In this work, we address the challenges of minimizing sign changes of DC sources with H-bridges and efficient offset sorting for arbitrary numbers of offset channels.