@article{JMAI4581,
author = {Paul Schoenhagen and Mathis Zimmermann},
title = {Artificial intelligence and cardiovascular computed tomography},
journal = {Journal of Medical Artificial Intelligence},
volume = {1},
number = {0},
year = {2018},
keywords = {},
abstract = {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.},
issn = {2617-2496}, url = {https://jmai.amegroups.org/article/view/4581}
}