Automated segmentation of routine cine-CMR for volumetric assessment of presence and severity of left ventricular diastolic dysfunction

Introduction DD alters LV relaxation and compliance, thereby changing timing profiles of LV filling. Cine-CMR provides volumetric data concerning LV filling but is not widely used to assess DD as manual planimetry of all images across all temporal phases requires tracing over one hundred images per exam. Thus, whereas cine-CMR is a reference for systolic function, additional testing using echo is typically necessary to identify DD. We tested whether automated segmentation of routine cine-CMR could be used to stratify presence and severity of DD.