since 2022

[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.

since 2022

[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.

since 2014

[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.

since 2014

[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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how published: |

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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.

2007-2013

[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: |

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Address: |

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how published: |

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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.

since 2014

[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.