Numerical analysis of the pressure drop across highly-eccentric coronary stenoses: application to the calculation of the fractional flow reserve.
R AgujetasM R González-FernándezJ M Nogales-AsensioJosé María MontaneroPublished in: Biomedical engineering online (2018)
The errors made in assuming a uniform velocity profile in front of the stenosis, as well as those due to the Newtonian and laminar approximations, are negligible for stenosis severities leading to FFR values around the threshold 0.8. The limited resolution of the stenosis geometry reconstruction is the major source of error when predicting the FFR value. Both systematic errors in the contour detection of just 1-pixel size in the CTA images and a low-quality representation of the stenosis surface (coarse faceted geometry) may yield wrong outcomes of the FFR assessment for an important set of eccentric stenoses. On the contrary, the spatial resolution of images acquired with optical coherence tomography may be sufficient to ensure accurate predictions for the FFR value.
Keyphrases
- optical coherence tomography
- deep learning
- convolutional neural network
- patient safety
- resistance training
- coronary artery disease
- coronary artery
- single molecule
- molecular dynamics
- high resolution
- adverse drug
- emergency department
- heart failure
- molecular dynamics simulations
- mass spectrometry
- type diabetes
- adipose tissue
- body composition
- blood flow
- atrial fibrillation
- optic nerve