Nawwas, LinaLinaNawwasMöddel, MartinMartinMöddelKnopp, TobiasTobiasKnopp2025-04-112025-04-112025-03-14International Journal on Magnetic Particle Imaging 11 (1, Suppl 1): 2503062 (2025)https://hdl.handle.net/11420/55326Multi-contrast magnetic particle imaging (MPI) reconstructs the signal from different tracer materials or environments, resulting in multi-channel images that enable temperature or viscosity quantification. Since the multi-contrast problem is ill-posed, it is addressed by regularization methods that are commonly solved using the Kaczmarz algorithm. Unlike the single-contrast MPI problem, the multi-contrast one requires a high number of iterations to converge. Matrix compression techniques were already successfully used in single-contrast reconstruction and matrix recovery applications as in compressed sensing. Our work proposes to use matrix compression to reduce the reconstruction time needed to achieve good reconstruction quality in multi-contrast MPI.en2365-903320251, Suppl 1Infinite Science Publishinghttps://creativecommons.org/licenses/by/4.0/Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic EngineeringComputer Science, Information and General Works::004: Computer SciencesNatural Sciences and Mathematics::519: Applied Mathematics, ProbabilitiesJournal Articlehttps://doi.org/10.15480/882.1507010.18416/ijmpi.2025.250306210.15480/882.15070Journal Article