Niklas Hackelberg, M.Sc.

Fraunhofer-Einrichtung für Individualisierte und Zellbasierte Medizintechnik IMTE
Mönkhofer Weg 239a
23562 Lübeck
- Postanschrift -

Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude E, Raum 4.044
Am Schwarzenberg-Campus 3
21073 Hamburg

E-Mail: niklas.hackelberg(at)imte.fraunhofer.de
E-Mail: niklas.hackelberg(at)tuhh.de
ORCID: https://orcid.org/0000-0002-0976-9049

Research Interests

  • Magnetic Particle Imaging
  • Image reconstruction in MPI, MRI and CT
  • Parallel computing in Julia

Curriculum Vitae

Niklas Hackelberg is a PhD student in the group of Tobias Knopp for Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology. In addition, he works as a software engineer at the Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering IMTE in Lübeck. He studied Computer Science at the Technical University of Hamburg from 2014 to 2021, where he earned his Master's degree with a thesis on "Development of a Scalable and Real-Time Capable Data Acquisition System for Magnetic Particle Imaging."  

Journal Publications

[180983]
Title: MPIMeasurements.jl: An Extensible Julia Framework for Composable Magnetic Particle Imaging Devices.
Written by: N. Hackelberg, J. Schumacher, J. Ackers, M. Möddel, F. Foerger, M. Graeser, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2023).
Volume: <strong>9</strong>. Number: (1),
on pages: 1-4
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DOI: 10.18416/IJMPI.2023.2303069
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/605
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[www]

Note: inproceedings, opensoftware, mpisoftware

Abstract: Magnetic particle imaging (MPI) is a pre-clinical imaging modality, whose system design is still evolving, in particular towards human studies and clinical use. Therefore, many MPI scanners are custom-made distributed systems, both on the hard- and the software side. In this work we present the open-source Julia framework MPIMeasurements.jl, which implements a composable representation of imaging systems. It also offers flexible data structures that allow the implementation of specific imaging protocols, such as online/offline measurements, repeated measurements and system matrix calibrations. %that are reusable across systems. The project is designed to be expanded to new systems through community development and component reuse. To showcase the versatility of the software package, we give an overview of four very different MPI systems, which were realized with MPIMeasurements.jl.

Conference Proceedings

[180983]
Title: MPIMeasurements.jl: An Extensible Julia Framework for Composable Magnetic Particle Imaging Devices.
Written by: N. Hackelberg, J. Schumacher, J. Ackers, M. Möddel, F. Foerger, M. Graeser, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2023).
Volume: <strong>9</strong>. Number: (1),
on pages: 1-4
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2023.2303069
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/605
ARXIVID:
PMID:

[www]

Note: inproceedings, opensoftware, mpisoftware

Abstract: Magnetic particle imaging (MPI) is a pre-clinical imaging modality, whose system design is still evolving, in particular towards human studies and clinical use. Therefore, many MPI scanners are custom-made distributed systems, both on the hard- and the software side. In this work we present the open-source Julia framework MPIMeasurements.jl, which implements a composable representation of imaging systems. It also offers flexible data structures that allow the implementation of specific imaging protocols, such as online/offline measurements, repeated measurements and system matrix calibrations. %that are reusable across systems. The project is designed to be expanded to new systems through community development and component reuse. To showcase the versatility of the software package, we give an overview of four very different MPI systems, which were realized with MPIMeasurements.jl.