Tsanda, ArtyomArtyomTsandaJürß, PaulPaulJürßHackelberg, NiklasNiklasHackelbergGrosser, MircoMircoGrosserMöddel, MartinMartinMöddelKnopp, TobiasTobiasKnopp2024-04-232024-04-232024International Journal on Magnetic Particle Imaging 10 (1, suppl. 1): 2403010 (2024)https://hdl.handle.net/11420/47225The Kaczmarz algorithm is widely used for image reconstruction in magnetic particle imaging (MPI) because it converges rapidly and provides good image quality even after a few iterations. It is often combined with Tikhonov regularization to cope with noisy measurements and the ill-posed nature of the imaging problem. In this abstract, we propose to combine the Kaczmarz method with a plug-and-play (PnP) denoiser for regularization, which can provide more specific prior knowledge than handcrafted priors. Using measurement data of a spiral phantom, we show that Kaczmarz-PnP yields excellent image quality, while speeding up the already fast convergence. Since the PnP denoiser is not coupled to the imaging operator, the Kaczmarz-PnP method is very generic and can be used for image reconstruction independently of the measurement sequence and MPI tracer type.en2365-903320241, suppl. 1Infinite Science Publishinghttps://creativecommons.org/licenses/by/4.0/Medicine, HealthEngineering and Applied OperationsJournal Article10.15480/882.951110.18416/IJMPI.2024.240301010.15480/882.9511Journal Article