Generative Models for Reproducible Coronary Calcium Scoring. (arXiv:2205.11967v1 [eess.IV])

Purpose: Coronary artery calcium (CAC) score, i.e. the amount of CAC
quantified in CT, is a strong and independent predictor of coronary heart
disease (CHD) events. However, CAC scoring suffers from limited interscan
reproducibility, which is mainly due to the clinical definition requiring
application of a fixed intensity level threshold for segmentation of
calcifications. This limitation is especially pronounced in
non-ECG-synchronized CT where lesions are more impacted by cardiac motion and
partial volume effects. Therefore, we propose a CAC quantification …

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