Enhanced compressed sensing recovery of multi-patch system matrices in MPI
Beteiligte Einrichtungen
Abstract
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.
Bibliografische Daten
Originalsprache | Englisch |
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Aufsatznummer | 2009035 |
ISSN | 2365-9033 |
DOIs | |
Status | Veröffentlicht - 2020 |
Anmerkungen des Dekanats
Publisher Copyright:
© 2020 Grosser et al.; licensee Infinite Science Publishing GmbH.