Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI
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arXiv
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| Hauptverfasser: | , , , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911796309262336 |
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| author | Qiu, Shihan Pan, Shaoyan Liu, Yikang Zhao, Lin Xu, Jian Liu, Qi Chen, Terrence Chen, Eric Z. Chen, Xiao Sun, Shanhui |
| author_facet | Qiu, Shihan Pan, Shaoyan Liu, Yikang Zhao, Lin Xu, Jian Liu, Qi Chen, Terrence Chen, Eric Z. Chen, Xiao Sun, Shanhui |
| contents | Current deep learning reconstruction for accelerated cardiac cine MRI suffers from spatial and temporal blurring. We aim to improve image sharpness and motion delineation for cine MRI under high undersampling rates. A spatiotemporal diffusion enhancement model conditional on an existing deep learning reconstruction along with a novel paired sampling strategy was developed. The diffusion model provided sharper tissue boundaries and clearer motion than the original reconstruction in experts evaluation on clinical data. The innovative paired sampling strategy substantially reduced artificial noises in the generative results. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_08758 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI Qiu, Shihan Pan, Shaoyan Liu, Yikang Zhao, Lin Xu, Jian Liu, Qi Chen, Terrence Chen, Eric Z. Chen, Xiao Sun, Shanhui Image and Video Processing Computer Vision and Pattern Recognition Current deep learning reconstruction for accelerated cardiac cine MRI suffers from spatial and temporal blurring. We aim to improve image sharpness and motion delineation for cine MRI under high undersampling rates. A spatiotemporal diffusion enhancement model conditional on an existing deep learning reconstruction along with a novel paired sampling strategy was developed. The diffusion model provided sharper tissue boundaries and clearer motion than the original reconstruction in experts evaluation on clinical data. The innovative paired sampling strategy substantially reduced artificial noises in the generative results. |
| title | Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI |
| topic | Image and Video Processing Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2403.08758 |