[132510] |
Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging. |
Written by: M. Boberg, T. Knopp, and M. Möddel |
in: <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em>. (2019). |
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on pages: 73-74 |
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Note: inproceedings, multi-patch, magneticfield
Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.
[132510] |
Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging. |
Written by: M. Boberg, T. Knopp, and M. Möddel |
in: <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em>. (2019). |
Volume: Number: |
on pages: 73-74 |
Chapter: |
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Edition: |
ISBN: |
how published: |
Organization: |
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DOI: |
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ARXIVID: |
PMID: |
Note: inproceedings, multi-patch, magneticfield
Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.
[132510] |
Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging. |
Written by: M. Boberg, T. Knopp, and M. Möddel |
in: <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em>. (2019). |
Volume: Number: |
on pages: 73-74 |
Chapter: |
Editor: |
Publisher: |
Series: |
Address: |
Edition: |
ISBN: |
how published: |
Organization: |
School: |
Institution: |
Type: |
DOI: |
URL: |
ARXIVID: |
PMID: |
Note: inproceedings, multi-patch, magneticfield
Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.
[132510] |
Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging. |
Written by: M. Boberg, T. Knopp, and M. Möddel |
in: <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em>. (2019). |
Volume: Number: |
on pages: 73-74 |
Chapter: |
Editor: |
Publisher: |
Series: |
Address: |
Edition: |
ISBN: |
how published: |
Organization: |
School: |
Institution: |
Type: |
DOI: |
URL: |
ARXIVID: |
PMID: |
Note: inproceedings, multi-patch, magneticfield
Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.
[132510] |
Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging. |
Written by: M. Boberg, T. Knopp, and M. Möddel |
in: <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em>. (2019). |
Volume: Number: |
on pages: 73-74 |
Chapter: |
Editor: |
Publisher: |
Series: |
Address: |
Edition: |
ISBN: |
how published: |
Organization: |
School: |
Institution: |
Type: |
DOI: |
URL: |
ARXIVID: |
PMID: |
Note: inproceedings, multi-patch, magneticfield
Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.
[132510] |
Title: Magnetic Field Based Similarity Measure for System Matrices in Magnetic Particle Imaging. |
Written by: M. Boberg, T. Knopp, and M. Möddel |
in: <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em>. (2019). |
Volume: Number: |
on pages: 73-74 |
Chapter: |
Editor: |
Publisher: |
Series: |
Address: |
Edition: |
ISBN: |
how published: |
Organization: |
School: |
Institution: |
Type: |
DOI: |
URL: |
ARXIVID: |
PMID: |
Note: inproceedings, multi-patch, magneticfield
Abstract: We introduce a magnetic field based similarity measure for magnetic particle imaging system matrices to ultimately reduce the calibration time for multi-patch reconstructions. The measure gives an idea of how accurate a patch can be reconstructed with a given system matrix. Based on the measure and a chosen number of system matrices one can generate clusters that specify which patch should be reconstructed with which system matrix for optimal results.