Grosser, MircoMircoGrosserBoberg, MarijaMarijaBobergBahe, MarleenMarleenBaheKnopp, TobiasTobiasKnopp2020-09-142020-09-142020-09-02International Journal on Magnetic Particle Imaging 6 (2, Suppl 1): 2009035, 1-3 (2020)http://hdl.handle.net/11420/7316In magnetic particle imaging, many applications require the time consuming measurement of a system matrix before image reconstruction. Reduction of measurement time can be achieved with the help of compressed sensing, which is based on the sparsity of the system matrix in a suitable transform domain. In this work, we propose regularization functions to exploit the additional correlations in multi-patch system matrices. Experiments show that the resulting recovery method allows successful matrix recovery at higher undersampling factors than a standard compressed sensing recovery.en2365-903320202, Suppl 113Infinite Science Publishinghttps://creativecommons.org/licenses/by/4.0/InformatikMedizinJournal Article10.15480/882.441910.18416/IJMPI.2020.200903510.15480/882.4419Journal Article