Current Publications

Journal Publications
since 2022

Recent Journal Publications

[145082]
Title: Enhanced compressed sensing recovery of multi-patch system matrices in MPI.
Written by: M. Grosser, M. Boberg, M. Bahe, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2020).
Volume: <strong>6</strong>. Number: (2),
on pages: 1-3
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2020.2009035
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/287
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings

Abstract: In magnetic particle imaging, the time consuming measurement of a system matrix is required 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.

Conference Abstracts and Proceedings
since 2022

Recent Conference Abstracts and Proceedings

[145082]
Title: Enhanced compressed sensing recovery of multi-patch system matrices in MPI.
Written by: M. Grosser, M. Boberg, M. Bahe, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2020).
Volume: <strong>6</strong>. Number: (2),
on pages: 1-3
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2020.2009035
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/287
ARXIVID:
PMID:

[www]

Note: inproceedings

Abstract: In magnetic particle imaging, the time consuming measurement of a system matrix is required 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.

Publications

Journal Publications
since 2014

Journal Publications

[145082]
Title: Enhanced compressed sensing recovery of multi-patch system matrices in MPI.
Written by: M. Grosser, M. Boberg, M. Bahe, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2020).
Volume: <strong>6</strong>. Number: (2),
on pages: 1-3
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2020.2009035
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/287
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings

Abstract: In magnetic particle imaging, the time consuming measurement of a system matrix is required 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.

Conference Abstracts and Proceedings
since 2014

Conference Abstracts and Proceedings

[145082]
Title: Enhanced compressed sensing recovery of multi-patch system matrices in MPI.
Written by: M. Grosser, M. Boberg, M. Bahe, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2020).
Volume: <strong>6</strong>. Number: (2),
on pages: 1-3
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2020.2009035
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/287
ARXIVID:
PMID:

[www]

Note: inproceedings

Abstract: In magnetic particle imaging, the time consuming measurement of a system matrix is required 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.

Publications Pre-dating the Institute

Publications
2007-2013

Old Publications

[145082]
Title: Enhanced compressed sensing recovery of multi-patch system matrices in MPI.
Written by: M. Grosser, M. Boberg, M. Bahe, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2020).
Volume: <strong>6</strong>. Number: (2),
on pages: 1-3
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2020.2009035
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/287
ARXIVID:
PMID:

[www]

Note: inproceedings

Abstract: In magnetic particle imaging, the time consuming measurement of a system matrix is required 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.

Open Access Publications

Journal Publications
since 2014

Open Access Publications

[145082]
Title: Enhanced compressed sensing recovery of multi-patch system matrices in MPI.
Written by: M. Grosser, M. Boberg, M. Bahe, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2020).
Volume: <strong>6</strong>. Number: (2),
on pages: 1-3
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2020.2009035
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/287
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings

Abstract: In magnetic particle imaging, the time consuming measurement of a system matrix is required 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.