Enhanced compressed sensing recovery of multi-patch system matrices in MPI
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Enhanced compressed sensing recovery of multi-patch system matrices in MPI. / Grosser, M.; Boberg, M.; Bahe, M.; Knopp, T.
In: Int J Magn Part Imag, Vol. 6, No. 2, 2009035, 2020.Research output: SCORING: Contribution to journal › Other (editorial matter etc.) › Research
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TY - JOUR
T1 - Enhanced compressed sensing recovery of multi-patch system matrices in MPI
AU - Grosser, M.
AU - Boberg, M.
AU - Bahe, M.
AU - Knopp, T.
N1 - Publisher Copyright: © 2020 Grosser et al.; licensee Infinite Science Publishing GmbH.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
U2 - 10.18416/IJMPI.2020.2009035
DO - 10.18416/IJMPI.2020.2009035
M3 - Other (editorial matter etc.)
AN - SCOPUS:85090292748
VL - 6
JO - Int J Magn Part Imag
JF - Int J Magn Part Imag
SN - 2365-9033
IS - 2
M1 - 2009035
ER -