Prof. Dr.-Ing. Tobias Knopp

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 209
22529 Hamburg
Tel.: 040 / 7410 56794
Fax: 040 / 7410 45811
E-Mail: t.knopp(at)

Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude E, Raum 4.044
Am Schwarzenberg-Campus 3
21073 Hamburg
E-Mail: tobias.knopp(at)




  • Head of the Institute for Biomedical Imaging
  • Editor-in-chief of the International Journal on Magnetic Particle Imaging (IJMPI)

Consulting Hours

  • On appointment

Research Interests

  • Tomographic Imaging
  • Image Reconstruction
  • Signal- and Image Processing
  • Magnetic Particle Imaging

Curriculum Vitae

Tobias Knopp received his Diplom degree in computer science in 2007 and his PhD in 2010, both from the University of Lübeck with highest distinction. For his PHD on the tomographic imaging method Magnetic Particle Imaging (MPI) he was awarded with the Klee award from the DGBMT (VDE) in 2011. From 2010 until 2011 he led the MAPIT project at the University of Lübeck and published the first scientific book on MPI. In 2011 he joined Bruker Biospin to work on the first commercially available MPI system. From 2012 until 2014 he worked at Thorlabs in the field of Optical Coherence Tomography (OCT) as a software developer. In 2014 he has been appointed as Professor for experimental Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology.


Title: Improving the Spatial Resolution of Bidirectional Cartesian MPI Data using Fourier Techniques 7th International Workshop on Magnetic Particle Imaging (IWMPI 2017)
Written by: F. Werner, N. Gdaniec, and T. Knopp
in: 2017
Volume: Number:
on pages: 93
how published:


Note: inproceedings

Abstract: Magnetic Particle Imaging (MPI) determines the distribution of superparamagnetic nanoparticles. Signal encoding is achieved by moving a field-free point (FFP) through the volume of interest. Due to its simplicity the Cartesian trajectory is used in many experimental scanner setups. One drawback of the Cartesian trajectory is that the spatial resolution is anisotropic and in particular lower in the orthogonal excitation direction. In order to get fully isotropic resolution one can extend the unidirectional Cartesian trajectory to a bidirectional Cartesian trajectory that switches the excitation direction after a first pass over the volume of interest. When reconstructing each of the unidirectional datasets using e.g. an analytical x-space approach, one obtains two images each having a higher spatial resolution in the excitation direction. Within this work, we introduce a postprocessing method that combines both images and calculates a combined image with fully isotropic spatial resolution.