Effects of arterial wall models and measurement uncertainties on cardiovascular model predictions. (4th January 2017)

• Record Type: Journal Article
• Authors: Eck, V.G.; Sturdy, J.; Hellevik, L.R.
• Is Part Of: Journal of biomechanics. Volume 50(2017)
• Page Start: 188
• Page End: 194
• Publication Date: 2017-01-04
• Subjects: Uncertainty quantification -- Sensitivity analysis -- Arterial wall models -- Wave propagation model -- Blood flow; Animal mechanics -- Periodicals; Biomechanics -- Periodicals; Biomechanics -- Periodicals; Mécanique animale -- Périodiques; Biomécanique -- Périodiques; Electronic journals; 571.4305
• DOI: 10.1016/j.jbiomech.2016.11.042
• Languages: English
• ISSNs: 0021-9290

Abstract

Abstract: We developed a methodology to assess and compare the prediction quality of cardiovascular models for patient-specific simulations calibrated with uncertainty-hampered measurements. The methodology was applied in a one-dimensional blood flow model to estimate the impact of measurement uncertainty in wall model parameters on the predictions of pressure and flow in an arterial network. We assessed the prediction quality of three wall models that have been widely used in one-dimensional blood flow simulations. A 37-artery network, previously used in one experimental and several simulation studies, was adapted to patient-specific conditions with a set of three clinically measurable inputs: carotid–femoral wave speed, mean arterial pressure and area in the brachial artery. We quantified the uncertainty of the predicted pressure and flow waves in eight locations in the network and assessed the sensitivity of the model prediction with respect to the measurements of wave speed, pressure and cross-sectional area. Furthermore, we developed novel time-averaged sensitivity indices to assess the contribution of model parameters to the uncertainty of time-varying quantities (e.g., pressure and flow). The results from our patient-specific network model demonstrated that our novel indices allowed for a more accurate sensitivity analysis of time-varying quantities compared to conventional Sobol sensitivity indices.