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)uke.de

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

 

 

Roles

  • 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.

Publications

[120343]
Title: Magnetic field based system matrix corrections for multi-patch MPI reconstructions
Written by: M. Boberg, M. Möddel, and T. Knopp
in: 9th International Congress on Industrial and Applied Mathematics (ICIAM 2019) 2019
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on pages: 333
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URL: https://iciam2019.org/images/site/news/ICIAM2019_PROGRAM_ABSTRACTS_BOOK.pdf#page=333
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[www] [BibTex]

Note: inproceedings, multi-patch, artifact

Abstract: Magnetic particle imaging is an imaging modality, which determines the spatial distribution of super-paramagnetic nanoparticles by solving a linear system of equations. Using multi-patch approaches the field-of-view in MPI can be enlarged. Due to field imperfections a dedicated system matrix for each patch is required to reduce artifacts in the reconstructed image. However, this results in long calibration times. In this talk, techniques are presented to reduce the calibration time while maintaining high quality.