Several cardiovascular diseases are caused from localised abnormal blood flow such as in
the case of stenosis or aneurysms. Prevailing theories propose that the development is …

Several advances have been made in data assimilation techniques applied to blood flow
modeling. Typically, idealized boundary conditions, only verified in straight parts of the …

Blood flow simulations can be improved by integrating known data into the numerical
simulations. Data Assimilation techniques based on a variational approach play an …

Hemodynamic simulations are restricted by modeling assumptions and uncertain initial and
boundary conditions, whereas Phase-Contrast Magnetic Resonance Imaging (PC-MRI) data …

The development of new technologies for acquiring measures and images in order to
investigate cardiovascular diseases raises new challenges in scientific computing. These …

In this work, a data assimilation method is proposed following an optimise-then-discretise
approach, and is applied in the context of computational haemodynamics. The methodology …

Numerical methods for incompressible fluid dynamics have recently received a strong
impulse from the applications to the cardiovascular system. In particular, fluid–structure …

Blood flow simulations can play an important role in medical training and diagnostic
predictions associated to several pathologies of the cardiovascular system. The main …

High-fidelity patient-specific modeling of cardiovascular flows and hemodynamics is
challenging. Direct blood flow measurement inside the body with in-vivo measurement …

Scientific computing has progressively become an important tool for research in
cardiovascular diseases. The role of quantitative analyses based on numerical simulations …