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Computational simulations of the aortic valve validated by imaging data: evaluation of valve-sparing techniques

^a Department of Mechanical Engineering, McGill University, Montreal, Canada
^b CoroNeo Inc., Montreal, Canada
^c Department of Cardiac Surgery, Montreal Heart Institute, 5000 Belanger Street East, Montreal, Quebec, H1T 1C8 Canada
^d Department of Radiology, Montreal Heart Institute, Montreal, Canada

*Corresponding author. Tel.: +1-514-376-3330 ext. 3715; fax: +1-514-376-4766.

E-mail address: rc2910{at}aol.com (R. Cartier).

The goal of this study has been to develop a numerical model of the aortic valve, to validate it with in-vivo data and to computationally evaluate the effect of two types of aortic valve-sparing reconstructions on valve dynamics and hemodynamics. A model of the native aortic valve and two models of the valve after surgical reconstruction (reimplantation with a straight conduit and remodeling with a shaped conduit) were created. These models were transferred to a finite element analysis software where the interaction between valve structures and blood was taken into account in a dynamic manner. Leaflet and blood dynamics, as well as tissue compliance and stresses were evaluated. Leaflet dynamics and blood velocities were also assessed by magnetic resonance imaging in 15 healthy volunteers. Computational results in the native valve model correlated closely with the in-vivo imaging data. The creation of neo-sinuses was shown to restore leaflet opening and closing dynamics. Loss of compliance at the commissures led to altered stress distribution patterns. Preservation of sinus geometry was an important factor in end systolic vortex formation. This is the first study to have incorporated the effect of blood flow in the numerical evaluation of aortic reconstructions using a computational model validated by in-vivo data. Differences in valve dynamics after surgical reconstruction reported in this computational study match trends previously reported in other in-vivo studies. Numerical models such as this one can serve as increasingly sophisticated tools in the study of aortic valve pathologies and in the optimization of new surgical reconstruction techniques.

Key Words: Aortic valve; Valve-sparing; Fluid-structure interaction; Numerical modeling; Magnetic resonance imaging