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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/2412.12711 |
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| _version_ | 1866915260950118400 |
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| author | Ehrhardt, Matthias J. Mauritz, Marco |
| author_facet | Ehrhardt, Matthias J. Mauritz, Marco |
| contents | Reconstructing high-quality images from undersampled dynamic MRI data is a challenging task and important for the success of this imaging modality. To remedy the naturally occurring artifacts due to measurement undersampling, one can incorporate a motion model into the reconstruction so that information can propagate across time frames. Current models for MRI imaging are using the optical flow equation. However, they are based on real-valued images. Here, we generalise the optical flow equation to complex-valued images and demonstrate, based on two real cardiac MRI datasets, that the new model is capable of improving image quality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_12711 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Complex extension of optical flow and its practical evaluation for undersampled dynamic MRI Ehrhardt, Matthias J. Mauritz, Marco Optimization and Control Reconstructing high-quality images from undersampled dynamic MRI data is a challenging task and important for the success of this imaging modality. To remedy the naturally occurring artifacts due to measurement undersampling, one can incorporate a motion model into the reconstruction so that information can propagate across time frames. Current models for MRI imaging are using the optical flow equation. However, they are based on real-valued images. Here, we generalise the optical flow equation to complex-valued images and demonstrate, based on two real cardiac MRI datasets, that the new model is capable of improving image quality. |
| title | Complex extension of optical flow and its practical evaluation for undersampled dynamic MRI |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2412.12711 |