International Journal on Magnetic Particle Imaging
Vol 6 No 2 Suppl. 1 (2020)

Proceedings Articles

Enhanced compressed sensing recovery of multi-patch system matrices in MPI

Main Article Content

Mirco Grosser (Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf), Marija Boberg , Marleen Bahe , Tobias Knopp 


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 systemmatrix 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 higherundersampling factors than a standard compressed sensing recovery.
Int. J. Mag. Part. Imag. 6(2), Suppl. 1, 2020, Article ID: 2009035, DOI: 10.18416/IJMPI.2020.2009035

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