In silico modelling of aortic valve implants – predicting in vitro performance using finite element analysis. (3rd April 2022)

• Record Type: Journal Article
• Authors: Whiting, Robert; Sander, Elizabeth; Conway, Claire; Vaughan, Ted J.
• Is Part Of: Journal of medical engineering & technology. Volume 46:Number 3(2022)
• Page Start: 220
• Page End: 230
• Publication Date: 2022-04-03
• Subjects: Heart valve design -- finite element analysis -- in vitro testing -- hydrodynamic performance; Biomedical engineering -- Periodicals; Medical technology -- Periodicals; 610.28
• DOI: 10.1080/03091902.2022.2026506
• Languages: English
• ISSNs: 0309-1902

Abstract

Abstract: The competing structural and hemodynamic considerations in valve design generally require a large amount of in vitro hydrodynamic and durability testing during development, often resulting in inefficient "trial-and-error" prototyping. While in silico modelling through finite element analysis (FEA) has been widely used to inform valve design by optimising structural performance, few studies have exploited the potential insight FEA could provide into critical hemodynamic performance characteristics of the valve. The objective of this study is to demonstrate the potential of FEA to predict the hydrodynamic performance of tri-leaflet aortic valve implants obtained during development through in vitro testing. Several variations of tri-leaflet aortic valves were designed and manufactured using a synthetic polymer and hydrodynamic testing carried out using a pulsatile flow rig according to ISO 5840, with bulk hydrodynamic parameters measured. In silico models were developed in tandem and suitable surrogate measures were investigated as predictors of the hydrodynamic parameters. Through regression analysis, the in silico parameters of leaflet coaptation area, geometric orifice area and opening pressure were found to be suitable indicators of experimental in vitro hydrodynamic parameters: regurgitant fraction, effective orifice area and transvalvular pressure drop performance, respectively.