Cardiac Magnetic Resonance

Cardiac magnetic resonance (CMR) imaging is a gold-standard technique for non-invasive cardiac assessment, aiming to provide comprehensive information on heart structure and function. Current research heavily utilizes deep learning, employing architectures like U-Nets, Transformers, and diffusion models, to improve image reconstruction from undersampled data, automate segmentation of cardiac structures (especially the challenging right ventricle), and enable efficient biomarker quantification. These advancements enhance diagnostic accuracy, streamline clinical workflows, and facilitate personalized medicine by enabling more precise and efficient analysis of cardiac data, including the development of cardiac digital twins.