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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.21011 |
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| _version_ | 1866916457063907328 |
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| author | Olausson, Thomas E. Terpstra, Maarten L. Huttinga, Niek R. F. Beijst, Casper Blanken, Niels Correia, Teresa Suchá, Dominika Velthuis, Birgitta K. Berg, Cornelis A. T. van den Sbrizzi, Alessandro |
| author_facet | Olausson, Thomas E. Terpstra, Maarten L. Huttinga, Niek R. F. Beijst, Casper Blanken, Niels Correia, Teresa Suchá, Dominika Velthuis, Birgitta K. Berg, Cornelis A. T. van den Sbrizzi, Alessandro |
| contents | We present a novel approach for the reconstruction of time-resolved free-running first-pass myocardial perfusion MRI, named CMR-MOTUS. This method builds upon the MR-MOTUS framework and addresses the challenges of a contrast varying reference image. By integrating a low-rank plus sparse (L+S) decomposition, CMR-MOTUS efficiently captures both motion fields and contrast variations. This innovative technique eliminates the need for acquiring a motion-static reference image prior to the examination, thereby reducing examination time and complexity for cardiac MRI examinations. Our results demonstrate that CMR-MOTUS can successfully disentangle different dynamic components, offering high-quality motion fields and motion correct a myocardial first-pass perfusion image series. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_21011 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Free-Running Time-Resolved First-Pass Myocardial Perfusion Using a Multi-Scale Dynamics Decomposition: CMR-MOTUS Olausson, Thomas E. Terpstra, Maarten L. Huttinga, Niek R. F. Beijst, Casper Blanken, Niels Correia, Teresa Suchá, Dominika Velthuis, Birgitta K. Berg, Cornelis A. T. van den Sbrizzi, Alessandro Medical Physics We present a novel approach for the reconstruction of time-resolved free-running first-pass myocardial perfusion MRI, named CMR-MOTUS. This method builds upon the MR-MOTUS framework and addresses the challenges of a contrast varying reference image. By integrating a low-rank plus sparse (L+S) decomposition, CMR-MOTUS efficiently captures both motion fields and contrast variations. This innovative technique eliminates the need for acquiring a motion-static reference image prior to the examination, thereby reducing examination time and complexity for cardiac MRI examinations. Our results demonstrate that CMR-MOTUS can successfully disentangle different dynamic components, offering high-quality motion fields and motion correct a myocardial first-pass perfusion image series. |
| title | Free-Running Time-Resolved First-Pass Myocardial Perfusion Using a Multi-Scale Dynamics Decomposition: CMR-MOTUS |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2410.21011 |