[180972] |
Title: Boundary artifact reduction by extrapolating system matrices outside the field-of-view in joint multi-patch MPI. |
Written by: K. Scheffler, M. Boberg, and T. Knopp |
in: <em>International Journal on Magnetic Particle Imaging</em>. (2022). |
Volume: <strong>8</strong>. Number: (1), |
on pages: 1-3 |
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DOI: 10.18416/IJMPI.2022.2203019 |
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/348 |
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Note: inproceedings, artifact, multi-patch
Abstract: In multi-patch magnetic particle imaging an artifact-free image can be obtained by using a joint reconstruction and measuring the system matrices not only in the field-of-view but also in a huge overscan. This leads to a long calibration time and heavy memory consumption and therefore an unsuitability of this method for large three-dimensional measurements. In this work we propose to measure the system matrices only in the field-of-view and use a diffusion based extrapolation step to extant the system matrices computationally into the overscan. In this way we massively reduce the calibration time while maintaining a nearly artifact-free image.
[180972] |
Title: Boundary artifact reduction by extrapolating system matrices outside the field-of-view in joint multi-patch MPI. |
Written by: K. Scheffler, M. Boberg, and T. Knopp |
in: <em>International Journal on Magnetic Particle Imaging</em>. (2022). |
Volume: <strong>8</strong>. Number: (1), |
on pages: 1-3 |
Chapter: |
Editor: |
Publisher: |
Series: |
Address: |
Edition: |
ISBN: |
how published: |
Organization: |
School: |
Institution: |
Type: |
DOI: 10.18416/IJMPI.2022.2203019 |
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/348 |
ARXIVID: |
PMID: |
Note: inproceedings, artifact, multi-patch
Abstract: In multi-patch magnetic particle imaging an artifact-free image can be obtained by using a joint reconstruction and measuring the system matrices not only in the field-of-view but also in a huge overscan. This leads to a long calibration time and heavy memory consumption and therefore an unsuitability of this method for large three-dimensional measurements. In this work we propose to measure the system matrices only in the field-of-view and use a diffusion based extrapolation step to extant the system matrices computationally into the overscan. In this way we massively reduce the calibration time while maintaining a nearly artifact-free image.