Abstract
In this work, a data assimilation method is proposed following an optimise-then-discretise approach, and is applied in the context of computational haemodynamics. The methodology aims to make use of phase-contrast magnetic resonance imaging to perform optimal flow control in computational fluid dynamic simulations. Flow matching between observations and model predictions is performed in luminal regions, excluding near-wall areas, improving the near-wall flow reconstruction to enhance the estimation of related quantities such as wall shear stresses. The proposed approach remarkably improves the flow field at the aortic root and reveals a great potential for predicting clinically relevant haemodynamic phenomenology. This work presents model validation against an analytical solution using the standard 3-D Hagen–Poiseuille flow, and validation with real data involving the flow control problem in a glass replica of a human aorta imaged with a 3T magnetic resonance scanner. In vitro experiments consist of both a numerically generated reference flow solution, which is considered as the ground truth, as well as real flow MRI data obtained from phase-contrast flow acquisitions. The validation against the in vitro flow MRI experiments is performed for different flow regimes and model parameters including different mesh refinements.
Publisher
Cambridge University Press (CUP)
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics
Reference59 articles.
1. Shear stress regulation of artery lumen diameter in experimental atherogenesis
2. Lipid deposition and intimal stress and strain. A study in rats with aortic stenosis;Zand;Am. J. Pathol.,1991
3. Universal outlier detection for PIV data
4. A tensorial approach to computational continuum mechanics using object-oriented techniques
5. Monocyte adhesion and changes in endothelial cell number, morphology, and f-actin distribution elicited by low shear stress in vivo;Walpola;Am. J. Pathol.,1993
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