Journal Publications
| [191108] |
| Title: Influence of the System Matrix on Channel Leakage Artifacts in Multi-Contrast MPI. |
| Written by: L. Nawwas, M. Möddel, and T. Knopp |
| in: <em>International Journal on Magnetic Particle Imaging</em>. (2024). |
| Volume: <strong>10</strong>. Number: (1 Suppl 1), |
| on pages: 1-4 |
| Chapter: |
| Editor: |
| Publisher: |
| Series: |
| Address: |
| Edition: |
| ISBN: |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: https://doi.org/10.18416/IJMPI.2024.2403033 |
| URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/761 |
| ARXIVID: |
| PMID: |
Note: inproceedings, multi-contrast
Abstract: Magnetic Particle Imaging (MPI) is a tracer-based medical imaging modality with great potential due to its high sensitivity, high spatiotemporal resolution, and ability to quantify the tracer concentration. Image reconstruction in MPI is an ill-posed problem, which can be addressed by the use of regularization methods. Single- and multi-contrast MPI reconstructions produce different kinds of artifacts. In this work, the multi-contrast MPI channel leakage is introduced and an analysis of the multi-contrast MPI system matrix properties is conducted to understand the source of the multi-contrast MPI channel leakage.
Conference Proceedings
| [191108] |
| Title: Influence of the System Matrix on Channel Leakage Artifacts in Multi-Contrast MPI. |
| Written by: L. Nawwas, M. Möddel, and T. Knopp |
| in: <em>International Journal on Magnetic Particle Imaging</em>. (2024). |
| Volume: <strong>10</strong>. Number: (1 Suppl 1), |
| on pages: 1-4 |
| Chapter: |
| Editor: |
| Publisher: |
| Series: |
| Address: |
| Edition: |
| ISBN: |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: https://doi.org/10.18416/IJMPI.2024.2403033 |
| URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/761 |
| ARXIVID: |
| PMID: |
Note: inproceedings, multi-contrast
Abstract: Magnetic Particle Imaging (MPI) is a tracer-based medical imaging modality with great potential due to its high sensitivity, high spatiotemporal resolution, and ability to quantify the tracer concentration. Image reconstruction in MPI is an ill-posed problem, which can be addressed by the use of regularization methods. Single- and multi-contrast MPI reconstructions produce different kinds of artifacts. In this work, the multi-contrast MPI channel leakage is introduced and an analysis of the multi-contrast MPI system matrix properties is conducted to understand the source of the multi-contrast MPI channel leakage.
