IntroductionThe mitral valve (MV) is a complex apparatus consisting of two leaflets, inserted on the valvular plane through the mitral annulus (MA) and connected to the ventricular myocardium through a net of branched chordae tendineae that converge into two papillary muscles (PMs). The MV guarantees the unidirectional flow from the left atrium to the left ventricle during diastole and prevents backward flows during systole. Its function is driven by several factors: transvalvular pressure drop, dynamic contraction of MA and PMs and ventricular hemodynamics.In the last decade, the high prevalence of MV pathologies, which require surgical intervention, has raised the need for more effective surgical techniques and devices, whose conceiving and application need careful design and testing. Finite element models (FEMs) are an innovative and helpful tool to be used in such process. Indeed, FEMs have the potential to quantitatively analyze MV biomechanics, with great benefits as compared to traditional animal models: absence of ethical issues, local quantification of mechanical parameters, control on the multiple factors leading the behaviour of the simulated system and, thus, the capability to answer "what if" questions. Thanks to such potential, FEMs have been recently applied to study MV normal function [1][2][3], the biomechanics underlying MV diseases [1] and effects of surgical corrections [4][5][6][7]. However, none of the mentioned studies captures all of the four aspects that drive MV function: morphology, tissues mechanical response, dynamic boundary conditions and interaction between the MV and surrounding blood. In particular, current FEMs, based on animal or ex vivo data, assume an idealized, symmetrical valvular structure and neglect the dynamic contraction of MA and PMs.Real time 3-D echocardiography (RT3DE) offers the potential to non invasively assess MV structures over time, thus providing the information needed to overcome the abovementioned limitations.Our aim was to integrate such quantitative information into a realistic FEM of the MV, which simulates valve closure from end diastole (ED) to systolic peak (SP).
Methods
Real-time 3D ecocardiographyTransthoracic RT3DE imaging was performed (iE33, Philips, Andover, MA) from the apical window using a fully sampled matrix-array transducer (X3), with the subject in the left lateral decubitus position. RT3DE datasets were acquired in a single normal subject (male, age 40) using the wide-angled mode at high frame rate (31 Hz), wherein 8 wedge-shaped subvolumes were obtained during 8 cardiac cycles during a single breath hold with ECG gating.
RT3DE data analysisThe RT3DE data were analyzed using previously developed custom software to semiautomatically detect and track the MA throughout the cardiac cycle, and to