Randomized Greedy Kaczmarz for Multi-Contrast Magnetic Particle Imaging
Multi-contrast magnetic particle imaging allows for separating signals from different tracer materials or microenvironments from one joint measurement, yielding multi-channel images that distinguish tracers or encode properties such as temperature or viscosity. However, leakage artifacts enforce a noticeably longer application of iterative standard methods like the Kaczmarz algorithm to reach satisfactory reconstruction results. A greedy randomized version of the Kaczmarz method is adapted, showing the potential for faster recovery.
Authors
- Marija Boberg (ORCID: https://orcid.org/0000-0003-3419-7481)
- Tobias A. Knopp (ORCID: https://orcid.org/0000-0002-1589-8517)
- Lina Nawwas (ORCID: https://orcid.org/0000-0002-1986-5229)
- Niklas Hackelberg (ORCID: https://orcid.org/0000-0002-0976-9049)
- Martin Möddel (ORCID: https://orcid.org/0000-0002-4737-7863)
- Patricia Römer
- Kolya Ruppel
Institutions
- Universität Hamburg (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- Fraunhofer-Einrichtung für Individualisierte Medizintechnik (DE)
- Hamburg University of Technology (DE)
Publication Details
- Journal
- Infinite Science GmbH
- Published
- 2025-10-27
- DOI
- https://doi.org/10.18416/ijmpi.2026.2603044
- Primary Topic
- Characterization and Applications of Magnetic Nanoparticles
- Type
- article
- Field-Weighted Citation Impact
- 0.00