Myocardium strain measures myocardial deformation and has been demonstrated a comprehensive, sensitive and early indicator of cardiac dysfunction. Feature tracking can assess myocardium strain from cine CMR images with no special acquisitions but requires observer intervention and expertise. We propose a deep-learning-based fully-automated myocardium strain assessment system that requires zero human intervention for accurate strain assessment.
This abstract and the presentation materials are available to members only; a login is required.