Non-Linear Fluid-Coupled
Computational Model of the Mitral Valve
Daniel R. Einstein1, Karyn S. Kunzelman2, Per G. Reinhall3, Mark
A. Nicosia4, Richard P. Cochran2
Departments of 1Bioengineering and 3Mechanical Engineering,
University of Washington, Seattle, Washington, 2Central Maine Heart and
Vascular Institute, Central Maine Medical Center, Lewiston, Maine, 4Department
of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota,
USA |
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°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.
The Journal of Heart Valve Disease 2005;14:376-385 |