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

[76869]
Title: Determination of system functions for Magnetic Particle Imaging. <em>{Magnetic Particle Imaging}</em>
Written by: M. Graeser, S. Biederer, M. Grüttner, H. Wojtczyk, T. F. Sattel, W. Tenner, G. Bringout, and T. M. Buzug
in: (2012).
Volume: Number: (140),
on pages: 59--64
Chapter:
Editor:
Publisher:
Series: Springer Proceedings in Physics
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1007/978-3-642-24133-8_10
URL: http://link.springer.com/chapter/10.1007/978-3-642-24133-8_10
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings

Abstract: In {Magnetic Particle Imaging}, a new medical imaging modality, the relation between measured signals and the spatial distribution of the tracer particles is described by the system function. In existing scanners the system function is measured by moving a delta probe through the field-of-view and the particle response is measured. This procedure is time consuming, caused by the mechanical movement, and makes great demands on the hardware, because of the huge data amount that is measured. To speed up the determination of the system functions other methods have to be considered. In this work the model based and the hybrid system function will be compared to the measured one.

Conference Proceedings

[76869]
Title: Determination of system functions for Magnetic Particle Imaging. <em>{Magnetic Particle Imaging}</em>
Written by: M. Graeser, S. Biederer, M. Grüttner, H. Wojtczyk, T. F. Sattel, W. Tenner, G. Bringout, and T. M. Buzug
in: (2012).
Volume: Number: (140),
on pages: 59--64
Chapter:
Editor:
Publisher:
Series: Springer Proceedings in Physics
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1007/978-3-642-24133-8_10
URL: http://link.springer.com/chapter/10.1007/978-3-642-24133-8_10
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings

Abstract: In {Magnetic Particle Imaging}, a new medical imaging modality, the relation between measured signals and the spatial distribution of the tracer particles is described by the system function. In existing scanners the system function is measured by moving a delta probe through the field-of-view and the particle response is measured. This procedure is time consuming, caused by the mechanical movement, and makes great demands on the hardware, because of the huge data amount that is measured. To speed up the determination of the system functions other methods have to be considered. In this work the model based and the hybrid system function will be compared to the measured one.