Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI

Shihan Qiu; Shaoyan Pan; Yikang Liu; Lin Zhao; Jian Xu; Qi Liu; Terrence Chen; Eric Z. Chen; Xiao Chen; Shanhui Sun

Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI

Image and Video Processing 2024-03-14 v1 Computer Vision and Pattern Recognition

Authors: Shihan Qiu , Shaoyan Pan , Yikang Liu , Lin Zhao , Jian Xu , Qi Liu , Terrence Chen , Eric Z. Chen , Xiao Chen , Shanhui Sun

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Abstract

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.

Keywords

diffusion imaging magnetic resonance imaging reconstruction photoacoustic imaging

Cite

@article{arxiv.2403.08749,
  title  = {Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI},
  author = {Shihan Qiu and Shaoyan Pan and Yikang Liu and Lin Zhao and Jian Xu and Qi Liu and Terrence Chen and Eric Z. Chen and Xiao Chen and Shanhui Sun},
  journal= {arXiv preprint arXiv:2403.08749},
  year   = {2024}
}

Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI

Abstract

Keywords

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