Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks

@inproceedings{Wolterink2015AutomaticCC,
  title={Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks},
  author={Jelmer M. Wolterink and Tim Leiner and Max A. Viergever and Ivana Isgum},
  booktitle={MICCAI},
  year={2015}
}
The amount of coronary artery calcification (CAC) is a strong and independent predictor of cardiovascular events. Non-contrast enhanced cardiac CT is considered a reference for quantification of CAC. Recently, it has been shown that CAC may be quantified in cardiac CT angiography (CCTA). We present a pattern recognition method that automatically identifies and quantifies CAC in CCTA. The study included CCTA scans of 50 patients equally distributed over five cardiovascular risk categories. CAC… CONTINUE READING
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