IBI: Tobias Knopp (Head of Institute)

IBI > People > Tobias Knopp (Head of Institute)

Prof. Dr.-Ing. Tobias Knopp

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 209
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 56794
Fax: 040 / 7410 45811
E-Mail: t.knopp(at)uke.de
E-Mail: tobias.knopp(at)tuhh.de
ORCID: https://orcid.org/0000-0002-1589-8517

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

Google Scholar Profile

[191175]

Title: RegularizedLeastSquares.jl: Modality Agnostic Julia Package for Solving Regularized Least Squares Problems.

Written by: N. Hackelberg, M. Grosser, A. Tsanda, F. Mohn, K. Scheffler, M. Möddel, and T. Knopp

in: <em>International Journal on Magnetic Particle Imaging</em>. (2024).

Volume: <strong>10</strong>. Number: (1 Suppl 1),

on pages: 1-4

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DOI: https://doi.org/10.18416/IJMPI.2024.2403028

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Note: inproceedings, reconstruction

Abstract: Image reconstruction in Magnetic Particle Imaging (MPI) is an ill-posed linear inverse problem. A standard methodfor solving such a problem is the regularized least squares approach, which uses, a regularization function toreduce the impact of measurement noise in the reconstructed image by leveraging prior knowledge. Variousoptimization algorithms, including the Kazcmarz method or the Alternating Direction Method of Multipliers(ADMM), and regularization functions, such asl2or Fused Lasso priors have been employed. Therefore, thecreation and implementation of cutting-edge image reconstruction techniques necessitate a robust and adaptableoptimization framework. In this work, we present the open-source Julia package RegularizedLeastSquares.jl, whichprovides a large selection of common optimization algorithms and allows flexible inclusion of regularizationfunctions. These features enable the package to achieve state-of-the-art image reconstruction in MPI.

Prof. Dr.-Ing. Tobias Knopp

Roles

Consulting Hours

Research Interests

Curriculum Vitae

Publications

TU Hamburg

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