@article{grosser2020enhanced,
Author = {M. Grosser, M. Boberg, M. Bahe, and T. Knopp},
Title = {Enhanced compressed sensing recovery of multi-patch system matrices in MPI.},
Journal = {<em>International Journal on Magnetic Particle Imaging</em>.},
Year = {(2020).},
Volume = {<strong>6</strong>.},
Number = {(2),},
Pages = {1-3},
Note = {inproceedings},
Doi = {10.18416/IJMPI.2020.2009035},
Url = {https://journal.iwmpi.org/index.php/iwmpi/article/view/287},
Keywords = {inproceedings},
Abstract = {In magnetic particle imaging, the time consuming measurement of a system matrix is required 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.}
}

@COMMENT{Bibtex file generated on 2026-5-16 with typo3 si_bibtex plugin. Data from https://www.tuhh.de/ibi/people/marija-boberg }