  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.
