Nawwas, LinaLinaNawwasBrandt, ChristinaChristinaBrandtSzwargulski, PatrykPatrykSzwargulskiKnopp, TobiasTobiasKnoppMöddel, MartinMartinMöddel2022-02-212022-02-212021-12-17International Journal on Magnetic Particle Imaging 7 (2): 2112002 (2021)http://hdl.handle.net/11420/11724Magnetic Particle Imaging (MPI) is a tracer based medical imaging modality with great potential due to its high sensi-tivity, high spatial and temporal resolution, and its ability to quantify the tracer concentration. Image reconstruction in MPI is an ill-posed problem, which can be addressed by regularization methods that lead to a reconstruction bias, which is apparent in a systematic mismatch between true and reconstructed tracer distribution. This is expressed in a background signal, a mismatch of the spatial support of the tracer distribution and a mismatch of its values. In this work, MPI reconstruction bias and its impact are investigated and a recently proposed debiasing method with significant bias reduction capabilities is adopted.en2365-9033International journal on magnetic particle imaging20212Infinite Science Publishinghttps://creativecommons.org/licenses/by/4.0/InformatikTechnikReduction of bias for sparsity promoting regularization in MPIJournal Article10.15480/882.441510.18416/IJMPI.2021.211200210.15480/882.4415Journal Article