Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917612992069632 |
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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 | The currently limited quality of accelerated cardiac cine reconstruction may potentially be improved by the emerging diffusion models, but the clinically unacceptable long processing time poses a challenge. We aim to develop a clinically feasible diffusion-model-based reconstruction pipeline to improve the image quality of cine MRI. A multi-in multi-out diffusion enhancement model together with fast inference strategies were developed to be used in conjunction with a reconstruction model. The diffusion reconstruction reduced spatial and temporal blurring in prospectively undersampled clinical data, as validated by experts inspection. The 1.5s per video processing time enabled the approach to be applied in clinical scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_08749 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Clinically Feasible Diffusion Reconstruction for Highly-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 The currently limited quality of accelerated cardiac cine reconstruction may potentially be improved by the emerging diffusion models, but the clinically unacceptable long processing time poses a challenge. We aim to develop a clinically feasible diffusion-model-based reconstruction pipeline to improve the image quality of cine MRI. A multi-in multi-out diffusion enhancement model together with fast inference strategies were developed to be used in conjunction with a reconstruction model. The diffusion reconstruction reduced spatial and temporal blurring in prospectively undersampled clinical data, as validated by experts inspection. The 1.5s per video processing time enabled the approach to be applied in clinical scenarios. |
| title | Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI |
| topic | Image and Video Processing Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2403.08749 |