Advanced computational modeling in cardiovascular biomechanics and disease

Aspects of advanced computational modeling important in obtaining a predictive and quantitatively correct assessment of biomechanical conditions in cardiovascular mechanics are presented. We highlight aspects of algorithms and modeling assumptions such as prestressing patient specific geometries, algorithms for efficient fluid-structure interaction and optimization of physiologically meaningful boundary conditions. Predictive capability of resulting models is demonstrated by showing superiority of computational models over classical, well-established criteria in abdominal aortic aneurysm rupture risk assessment.     «

Aspects of advanced computational modeling important in obtaining a predictive and quantitatively correct assessment of biomechanical conditions in cardiovascular mechanics are presented. We highlight aspects of algorithms and modeling assumptions such as prestressing patient specific geometries, algorithms for efficient fluid-structure interaction and optimization of physiologically meaningful boundary conditions. Predictive capability of resulting models is demonstrated by showing superiority...     »