Artificial intelligence and cardiovascular computed tomography

Cardiovascular computed tomography (CT) routinely acquires volumetric datasets with large numbers of axial slices. While review of the axial slices remains an important part of the image analysis, a critical step is detailed reconstruction of multiple oblique planes and volumes on an advanced 3D workstation (1). This is performed by a combination of manual and (semi)-automated reconstruction along oblique planes, vascular centerlines, and volumes. This analysis results in a large number of discrete qualitative and quantitative data-points and is increasingly supported by dedicated, “smart” software.