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Enhanced compressed sensing recovery of multi-patch system matrices in MPI
Citation Link: https://doi.org/10.15480/882.4419
Publikationstyp
Journal Article
Date Issued
2020-09-02
Sprache
English
Institut
TORE-DOI
TORE-URI
Volume
6
Issue
2, Suppl 1
Start Page
1
End Page
3
Article Number
2009035
Citation
International Journal on Magnetic Particle Imaging 6 (2, Suppl 1): 2009035, 1-3 (2020)
Publisher DOI
Scopus ID
Publisher
Infinite Science Publishing
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.
DDC Class
004: Informatik
610: Medizin
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