Numerical modeling can provide detailed and quantitative information on aortic root (AR) biomechanics,improving the understanding of AR complex pathophysiology and supporting the development of moreeffective clinical treatments.From this standpoint, fluid–structure interaction (FSI) models are currently the most exhaustive andpotentially realistic computational tools. However, AR FSI modeling is extremely challenging and compu-tationally expensive, due to the explicit simulation of coupled AR fluid dynamics and structural response,while accounting for complex morphological and mechanical features.We developed a novel FSI model of the physiological AR simulating its function throughout the entirecardiac cycle. The model includes an asymmetric MRI-based geometry, the description of aortic valve (AV)non-linear and anisotropic mechanical properties, and time-dependent blood pressures. By comparisonto an equivalent finite element structural model, we quantified the balance between the extra informationand the extra computational cost associated with the FSI approach.Tissue strains and stresses computed through the two approaches did not differ significantly. The FSIapproach better captured the fast AV opening and closure, and its interplay with blood fluid dynamicswithin the Valsalva sinuses. It also reproduced the main features of in vivo AR fluid dynamics. However, theFSI simulation was ten times more computationally demanding than its structural counterpart. Hence,the FSI approach may be worth the extra computational cost when the tackled scenarios are stronglydependent on AV transient dynamics, Valsalva sinuses fluid dynamics in relation to coronary perfusion(e.g. sparing techniques), or AR fluid dynamic alterations (e.g. bicuspid AV).

Impact of modeling fluid–structure interaction in the computational analysis of aortic root biomechanics

Sturla, Francesco;
2013

Abstract

Numerical modeling can provide detailed and quantitative information on aortic root (AR) biomechanics,improving the understanding of AR complex pathophysiology and supporting the development of moreeffective clinical treatments.From this standpoint, fluid–structure interaction (FSI) models are currently the most exhaustive andpotentially realistic computational tools. However, AR FSI modeling is extremely challenging and compu-tationally expensive, due to the explicit simulation of coupled AR fluid dynamics and structural response,while accounting for complex morphological and mechanical features.We developed a novel FSI model of the physiological AR simulating its function throughout the entirecardiac cycle. The model includes an asymmetric MRI-based geometry, the description of aortic valve (AV)non-linear and anisotropic mechanical properties, and time-dependent blood pressures. By comparisonto an equivalent finite element structural model, we quantified the balance between the extra informationand the extra computational cost associated with the FSI approach.Tissue strains and stresses computed through the two approaches did not differ significantly. The FSIapproach better captured the fast AV opening and closure, and its interplay with blood fluid dynamicswithin the Valsalva sinuses. It also reproduced the main features of in vivo AR fluid dynamics. However, theFSI simulation was ten times more computationally demanding than its structural counterpart. Hence,the FSI approach may be worth the extra computational cost when the tackled scenarios are stronglydependent on AV transient dynamics, Valsalva sinuses fluid dynamics in relation to coronary perfusion(e.g. sparing techniques), or AR fluid dynamic alterations (e.g. bicuspid AV).
Biomechanics; Computational modeling; Fluid-structure interaction; Aortic root; Finite element models
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/652160
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