Key result
A computational fluid dynamics algorithm successfully simulated unsteady periodic blood flow and near-wall shear stress in xenogenic vascular bioprostheses to predict hemodynamic effects.
Computational fluid dynamics modeling using patient-specific data can predict hemodynamic effects and thrombosis risk factors in vascular bioprostheses.
A three-dimensional unsteady periodic flow of blood in xenogenic vascular bioprostheses is simulated by computational fluid dynamics methods. The geometry of the computational domain is based on microtomographic scanning of bioprostheses. To set a variable pressure gradient causing an unsteady flow in the prostheses, personal-specific data of the Doppler echography of the blood flow of a particular patient are used. A comparative analysis of the velocity fields in the flow areas corresponding to three real samples of bioprostheses with multiple stenoses is carried out. In the zones of stenosis and outside of them, the distribution of the near-wall shear stress, which affects the risk factors for thrombosis in the prostheses, is analyzed. An algorithm for predicting the hemodynamic effects arising in vascular bioprostheses is proposed; the algorithm is based on the numerical modeling of the blood flow in these prostheses.
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Borisov et al. (2019) studied Vascular bioprostheses with multiple stenoses (n=3). Computational fluid dynamics modeling was evaluated on Velocity fields and near-wall shear stress distribution. A computational fluid dynamics algorithm successfully simulated unsteady periodic blood flow and near-wall shear stress in xenogenic vascular bioprostheses to predict hemodynamic effects.
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