The influence of model order reduction on the computed fractional flow reserve using parameterized coronary geometries

• Published in: Journal of biomechanics Vol. 82; pp. 313 - 323
• Main Authors: Gashi, K., Bosboom, E.M.H., van de Vosse, F.N.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 03.01.2019; Elsevier Limited
• Subjects: Accuracy; Asymmetry; Cardiovascular disease; Computational fluid dynamics; Computer applications; Computing time; Curvature; Diagnostic systems; Fractional flow reserve; Geometry; Lesions; Mathematical models; Model accuracy; Model order reduction; Model reduction; Steady flow; Stenosis; Tapering; Three dimensional flow; Three dimensional models; Two dimensional flow; Two dimensional models; Uncertainty analysis; Uncertainty quantification; Uncertainty quantification; Model order reduction; Computational fluid dynamics; Fractional flow reserve

Computational fluid dynamics (CFD) models combined with patient-specific imaging data are used to non-invasively predict functional significance of coronary lesions. This approach to predict the fractional flow reserve (FFR) is shown to have a high diagnostic accuracy when comparing against invasive...