AI-augmented cardiac magnetic resonance imaging: from acute myocardial infarction to papillary muscle involvement

AI-augmented cardiac magnetic resonance imaging: from acute myocardial infarction to papillary muscle involvement Acute myocardial infarction (MI) is the major cause of mortality, with millions of cases worldwide. Papillary muscles, which are essential in the correct functioning of the heart, can also be infarcted as a complication of MI, which involves even worse outcomes. Cardiac MRI (CMR) is the reference imaging for a radiation-free assessment of the whole heart. However, many individual sequences need to be played out to assess all the relevant biomarkers of the heart, and a thorough analysis of the collected images is required for proper diagnosis and management of patients. This cardiac protocol is long and complex due to the numerous sequences, and the analysis process is equally difficult due to the repetitive and operator-dependent manual tasks. The aim of this project is to (i) propose a sequence called SPOT-MAPPING, that will collect crucial imaging biomarkers in a single scan, and (ii) fully automate analysis of the ob-tained images. We believe that this approach is ideal for patients presenting with acute MI and papillary muscle infarc-tion.