Cardiovascular disease results from pathological biomechanical conditions and fatigue of the vessel wall. Image-based
computational modeling provides a physical and realistic insight into the patient-specific biomechanics and enables
accurate predictive simulations of development, growth and failure of cardiovascular disease. An experimental
validation is necessary for the evaluation and the clinical implementation of such computational models.
In the present study, we have implemented dynamic Computed-Tomography (4D-CT) imaging and catheter-based in
vivo measured pressures to numerically simulate and experimentally evaluate the biomechanics of the porcine aorta. The
computations are based on the Finite Element Method (FEM) and simulate the arterial wall response to the transient
pressure-based boundary condition. They are evaluated by comparing the numerically predicted wall deformation and
that calculated from the acquired 4D-CT data. The dynamic motion of the vessel is quantified by means of the hydraulic
diameter, analyzing sequences at 5% increments over the cardiac cycle.
Our results show that accurate biomechanical modeling is possible using FEM-based simulations. The RMS error of the
computed hydraulic diameter at five cross-sections of the aorta was 0.188, 0.252, 0.280, 0.237 and 0.204 mm, which is
equivalent to 1.7%, 2.3%, 2.7%, 2.3% and 2.0%, respectively, when expressed as a function of the time-averaged
hydraulic diameter measured from the CT images. The present investigation is a first attempt to simulate and validate
vessel deformation based on realistic morphological data and boundary conditions. An experimentally validated system
would help in evaluating individual therapies and optimal treatment strategies in the field of minimally invasive