BACKGROUND AND AIM OF THE STUDY: The dynamics of the mitral valve result from the synergy of left heart geometry, local blood flow and tissue integrity. Herein is presented the first coupled fluid-structure computational model of the mitral valve in which valvular kinematics result from the interaction of local blood flow and a continuum representation of valvular microstructure. METHODS: The diastolic geometry of the mitral valve was assembled from previously published experimental data. Anterior and posterior leaflets were modeled as networks of entangled collagen fibers, embedded in an isotropic matrix. The resulting non-linear continuum description of mitral tissue was implemented in a three-dimensional membrane formulation. Chordal tension-only behavior was defined from experimental tensile tests. The computational model considered the valve immersed in a domain of Newtonian blood, with an experimentally determined viscosity corresponding to a shear rate of 180 s(-1) at 37 degrees C. Ventricular and atrial pressure curves were applied to ventricular and atrial surfaces of the blood domain. RESULTS: Peak closing flow and volume were 51 ml/s and 1.17 ml, respectively. Papillary muscle force ranged dynamically between 0.0 and 2.6 N. Acoustic pressure (RMS) was found to be 3.3 Pa, with a peak frequency of 72 Hz at 0.064 s from the onset of systole. Model predictions showed excellent agreement with available transmitral flow, papillary force and first heart sound (S1) acoustic data. CONCLUSION: The addition of blood flow and an experimentally driven microstructural description of mitral tissue represent a significant advance in computational studies of the mitral valve. This model will be the foundation for future computational studies on the effect of pathophysiological tissue alterations on mitral valve competence.
BACKGROUND AND AIM OF THE STUDY: The dynamics of the mitral valve result from the synergy of left heart geometry, local blood flow and tissue integrity. Herein is presented the first coupled fluid-structure computational model of the mitral valve in which valvular kinematics result from the interaction of local blood flow and a continuum representation of valvular microstructure. METHODS: The diastolic geometry of the mitral valve was assembled from previously published experimental data. Anterior and posterior leaflets were modeled as networks of entangled collagen fibers, embedded in an isotropic matrix. The resulting non-linear continuum description of mitral tissue was implemented in a three-dimensional membrane formulation. Chordal tension-only behavior was defined from experimental tensile tests. The computational model considered the valve immersed in a domain of Newtonian blood, with an experimentally determined viscosity corresponding to a shear rate of 180 s(-1) at 37 degrees C. Ventricular and atrial pressure curves were applied to ventricular and atrial surfaces of the blood domain. RESULTS: Peak closing flow and volume were 51 ml/s and 1.17 ml, respectively. Papillary muscle force ranged dynamically between 0.0 and 2.6 N. Acoustic pressure (RMS) was found to be 3.3 Pa, with a peak frequency of 72 Hz at 0.064 s from the onset of systole. Model predictions showed excellent agreement with available transmitral flow, papillary force and first heart sound (S1) acoustic data. CONCLUSION: The addition of blood flow and an experimentally driven microstructural description of mitral tissue represent a significant advance in computational studies of the mitral valve. This model will be the foundation for future computational studies on the effect of pathophysiological tissue alterations on mitral valve competence.
Authors: Daniel R Einstein; Facundo Del Pin; Xiangmin Jiao; Andrew P Kuprat; James P Carson; Karyn S Kunzelman; Richard P Cochran; Julius M Guccione; Mark B Ratcliffe Journal: Int J Numer Methods Eng Date: 2010-03 Impact factor: 3.477
Authors: Chun Xu; Clay J Brinster; Arminder S Jassar; Mathieu Vergnat; Thomas J Eperjesi; Robert C Gorman; Joseph H Gorman; Benjamin M Jackson Journal: Am J Physiol Heart Circ Physiol Date: 2010-10-15 Impact factor: 4.733
Authors: Alessandro Caimi; Francesco Sturla; Bryan Good; Marco Vidotto; Rachele De Ponti; Filippo Piatti; Keefe B Manning; Alberto Redaelli Journal: J Biomech Eng Date: 2017-08-01 Impact factor: 2.097
Authors: Robert J Schneider; Douglas P Perrin; Nikolay V Vasilyev; Gerald R Marx; Pedro J del Nido; Robert D Howe Journal: Med Image Anal Date: 2011-12-04 Impact factor: 8.545
Authors: Philippe Burlina; Chad Sprouse; Ryan Mukherjee; Daniel DeMenthon; Theodore Abraham Journal: Ultrasound Med Biol Date: 2013-03-13 Impact factor: 2.998
Authors: Milan Toma; Charles H Bloodworth; Eric L Pierce; Daniel R Einstein; Richard P Cochran; Ajit P Yoganathan; Karyn S Kunzelman Journal: Ann Biomed Eng Date: 2016-09-13 Impact factor: 3.934
Authors: Milan Toma; Daniel R Einstein; Charles H Bloodworth; Richard P Cochran; Ajit P Yoganathan; Karyn S Kunzelman Journal: Int J Numer Method Biomed Eng Date: 2016-07-28 Impact factor: 2.747