Hackelberg, NiklasNiklasHackelbergRömer, PatriciaPatriciaRömerRuppel, Kolya LukasKolya LukasRuppelNawwas, LinaLinaNawwasMöddel, MartinMartinMöddelBoberg, MarijaMarijaBobergKnopp, TobiasTobiasKnopp2026-04-152026-04-152026-03-18International Journal on Magnetic Particle Imaging 12 (1): 2603044 (2026)https://hdl.handle.net/11420/62694Multi-contrast magnetic particle imaging allows for separating signals from different tracer materials or microenvi-ronments 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.en2365-9033International journal on magnetic particle imaging20261Infinite Science Publishinghttps://creativecommons.org/licenses/by/4.0/Natural Sciences and Mathematics::515: AnalysisTechnology::621: Applied Physics::621.3: Electrical Engineering, Electronic EngineeringRandomized greedy Kaczmarz for multi-contrast magnetic particle imagingJournal Articlehttps://doi.org/10.15480/882.1698210.18416/ijmpi.2026.260304410.15480/882.16982