Uncertainty Quantification and Sensitivity Analysis for Computational FFR Estimation in Stable Coronary Artery Disease.
Fredrik E FossanJacob SturdyLucas O MüllerAndreas StrandAnders T BråtenArve JørgensenRune WisethLeif R HellevikPublished in: Cardiovascular engineering and technology (2018)
Model errors related to solving a simplified reduced-order model rather than a full 3D problem were small compared with uncertainty related to input data. Improved measurement of coronary blood flow has the potential to reduce uncertainty in computational FFR predictions significantly.
Keyphrases
- blood flow
- coronary artery disease
- coronary artery
- percutaneous coronary intervention
- coronary artery bypass grafting
- type diabetes
- emergency department
- cardiovascular disease
- big data
- acute coronary syndrome
- aortic stenosis
- atrial fibrillation
- climate change
- left ventricular
- human health
- data analysis
- quality improvement
- aortic valve