Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis

@article{Zreik2018DeepLA,
  title={Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis},
  author={Majd Zreik and Nikolas Lessmann and Robbert W. van Hamersvelt and Jelmer M. Wolterink and Michiel Voskuil and Max A. Viergever and Tim Leiner and Ivana I{\vs}gum},
  journal={Medical image analysis},
  year={2018},
  volume={44},
  pages={
          72-85
        }
}
In patients with coronary artery stenoses of intermediate severity, the functional significance needs to be determined. Fractional flow reserve (FFR) measurement, performed during invasive coronary angiography (ICA), is most often used in clinical practice. To reduce the number of ICA procedures, we present a method for automatic identification of patients with functionally significant coronary artery stenoses, employing deep learning analysis of the left ventricle (LV) myocardium in rest… CONTINUE READING

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