Automatization of image processing and analysis is rapidly advancing. In the early days of cardiac CT imaging, we had to manually identify and track structures, e.g., coronary arteries, chambers, etc., for optimal visualization and analysis. Cumbersome, labor extensive contour editing was often required. Nowadays, algorithms identify our structures of interest in the background and perform fully automated analyses, such as chamber volumes, vessel border tracking, and much more.
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