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

M. Grosser; M. Boberg; M. Bahe; T. Knopp

doi:10.18416/IJMPI.2020.2009035

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

Standard

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, Jahrgang 6, Nr. 2, 2009035, 2020.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › Andere (Vorworte u.ä.) › Forschung

Harvard

Grosser, M, Boberg, M, Bahe, M & Knopp, T 2020, 'Enhanced compressed sensing recovery of multi-patch system matrices in MPI', Int J Magn Part Imag, Jg. 6, Nr. 2, 2009035. https://doi.org/10.18416/IJMPI.2020.2009035

APA

Grosser, M., Boberg, M., Bahe, M., & Knopp, T. (2020). Enhanced compressed sensing recovery of multi-patch system matrices in MPI. Int J Magn Part Imag, 6(2), [2009035]. https://doi.org/10.18416/IJMPI.2020.2009035

Vancouver

Grosser M, Boberg M, Bahe M, Knopp T. Enhanced compressed sensing recovery of multi-patch system matrices in MPI. Int J Magn Part Imag. 2020;6(2). 2009035. https://doi.org/10.18416/IJMPI.2020.2009035

Bibtex

@article{a1cb2e18989b4e4589481e26b8b9ac7f,

title = "Enhanced compressed sensing recovery of multi-patch system matrices in MPI",

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.",

author = "M. Grosser and M. Boberg and M. Bahe and T. Knopp",

note = "Publisher Copyright: {\textcopyright} 2020 Grosser et al.; licensee Infinite Science Publishing GmbH.",

year = "2020",

doi = "10.18416/IJMPI.2020.2009035",

language = "English",

volume = "6",

journal = "Int J Magn Part Imag",

issn = "2365-9033",

publisher = "Infinite Science Publishing",

number = "2",

}

RIS

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.

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 -