When flow-induced forces are altered at the blood vessel, maladaptive remodeling can occur. One reason such remodeling may occur has to do with the abnormal functioning of the aortic heart valve due to disease, calcification, injury, or an improperly-designed prosthetic valve, which restricts the opening of the valve leaflets and drastically alters the hemodynamics in the ascending aorta. While the specifics underlying the fundamental mechanisms leading to changes in heart valve function may differ from one cause to another, one common and important change is in leaflet stiffness and/or mass. Here, we examine the link between valve stiffness and mass and the hemodynamic environment in aorta by coupling magnetic resonance imaging (MRI) with high-resolution fluid–structure interaction (FSI) computational fluid dynamics to simulate blood flow in a patient-specific model. The thoracic aorta and a native aortic valve were re-constructed in the FSI model from the MRI data and used for the simulations. The effect of valve stiffness and mass is parametrically investigated by varying the thickness (h) of the leaflets (h = 0.6, 2, 4 mm). The FSI simulations were designed to investigate systematically progressively higher levels of valve stiffness by increasing valve thickness and quantifying hemodynamic parameters known to be linked to aortopathy and valve disease. The computed results reveal dramatic differences in all hemodynamic parameters: (1) the geometric orifice area (GOA), (2) the maximum velocity Vmax of the jet passing through the aortic orifice area, (3) the rate of energy dissipation Ediss(t), (4) the total loss of energy Ediss, (5) the kinetic energy of the blood flow Ekin(t), and (6) the average magnitude of vorticity Ωa(t), illustrating the change in hemodynamics that occur due to the presence of aortic valve stenosis.
|Original language||English (US)|
|State||Published - Jun 29 2019|
Bibliographical noteFunding Information:
Additional research support was provided by NIH K25HL119608 and R01HL133504. Computational resources for this work were provided by the Saint Anthony Falls Laboratory clusters, University of Minnesota and Minnesota Supercomputing Institute.
Funding: Additional research support was provided by NIH K25HL119608 and R01HL133504.
© 2019 by the authors
- Aortic valve
- Fluid–structure interaction
- Immersed boundary method
- Magnetic resonance imaging