Within healthcare, imaging has transformed how we look at and understand diseases of the heart. Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and echocardiography have all provided unique perspectives on the anatomy and function of the heart; yet often the wealth of information these images provide is often ignored. New techniques in image processing and machine learning have opened unique avenues for automating comprehensive analyses of the heart and empowered researchers to dig deeper into the data. Adding biomechanical modeling and simulation, these advances can be further propelled into personalized modeling -- providing tools for understanding disease and predicting treatment response. In this talk we review the tools of imaging, analysis and machine learning, and biomechanical modeling and how they are transforming how we understand the heart.

This presentation will be held in 2036 Palmer Commons. There will also be a remote viewing option via Zoom.