IBI: Tobias Knopp (Head of Institute)

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Prof. Dr.-Ing. Tobias Knopp

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 209
22529 Hamburg
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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

[191982]

Title: Optimization-based motion estimation in HR-pQCT.

Written by: P. Jürß, T. Knopp, B. Busse, F.N. von Brackel, M. Boberg

in: <em>2025 IEEE International Symposium on Biomedical Imaging (ISBI)</em>. (2025).

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on pages: 1-4

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Note: inproceedings, hrpqct

Abstract: The imaging modality high-resolution peripheral quantitative computed tomography (HR-pQCT) enables assessment of bone mineral density and three-dimensional microarchitecture of peripheral limbs. Due to its long scan time, this modality is especially susceptible towards motion of the patient. The architecture and scanning protocol of existing scanners, which acquire only halfscans, make many existing methods of motion compensation inapplicable. In this work, an iterative motion estimation and compensation approach is proposed that is able to significantly reduce the amount of motion artifacts. This is achieved by jointly optimizing the motion parameters and reference image to minimize the data consistency error by exploiting the quasi-convex behavior of the objective functions observed near the ground truth. The proposed method was evaluated on a large collection of simulated sinograms and was able to remove motion artifacts almost completely.

Prof. Dr.-Ing. Tobias Knopp

Roles

Consulting Hours

Research Interests

Curriculum Vitae

Publications

TU Hamburg

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