|Publisher DOI:||10.18416/IJMPI.2020.2009035||Title:||Enhanced compressed sensing recovery of multi-patch system matrices in MPI||Language:||English||Authors:||Grosser, Mirco
|Issue Date:||2020||Source:||International Journal on Magnetic Particle Imaging 2 (6): 2009035 (2020)||Journal or Series Name:||International journal on magnetic particle imaging||Abstract (english):||In 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.||URI:||http://hdl.handle.net/11420/7316||ISSN:||2365-9033||Institute:||Biomedizinische Bildgebung E-5||Type:||(wissenschaftlicher) Artikel|
|Appears in Collections:||Publications without fulltext|
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