| [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 | 
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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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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: | 
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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: | 
| 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.