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

Publikationstyp
Journal Article
Publikationsdatum
2020-09-02
Sprache
English
Author
Grosser, Mirco 
Boberg, Marija orcid-logo
Bahe, Marleen 
Knopp, Tobias 
Institut
Biomedizinische Bildgebung E-5 
DOI
10.15480/882.4419
TORE-URI
http://hdl.handle.net/11420/7316
Enthalten in
International journal on magnetic particle imaging 
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
10.18416/IJMPI.2020.2009035
Scopus ID
2-s2.0-85090292748
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
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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