Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
This work addresses the challenge of making diffusion reconstruction practical for clinical cardiac MRI, though it is incremental as it focuses on improving feasibility rather than introducing a new paradigm.
The authors tackled the problem of long processing times in diffusion-model-based reconstruction for accelerated cardiac cine MRI, achieving a clinically feasible 1.5 seconds per video processing time while reducing spatial and temporal blurring as validated by experts.
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.