The CardioVascular Biomechanics group at IACM / FORTH has developed significant expertise in developing biomedical image-based computational approaches based on patient specific data obtained in vivo using 3D medical imaging techniques and post-processed with 3D geometry reconstruction methods. The group has a strong background in computational biofluids modelling. Complex 3D flows with advanced mesh geometry and visualization capabilities are being simulated. Three-dimensional reconstruction of organ geometries (abdominal aorta, carotid bifurcation, vertebrae etc.) using level set methods and other computational techniques is used in image-based computational simulations.

Expertise on parallel computing techniques allows for large-scale scientific computations at IACM-FORTH. Computationally demanding tasks in biofluid dynamics such as particle tracking in coupled fluid structure vascular domains or the hemodynamic assessment of numerous surgical options in vascular reconstructive surgery in a clinically useful time scale are considered. Additionally, the capability of computing high-order accurate compressible and incompressible flow solutions in complex domains using the discontinuous Galerkin approach has been established. This allows the investigation of the full range of flow scales that develop for example in post stenotic jets that form in highly stenosed arterial conduits. The group has also developed expertise in the field of Magneto-Hemodynamics with projects funded by the European Space Agency investigating the effects of strong static magnetic fields in the flow of blood in realistic arterial conduits.

Computational Biomechanics Lab Expertise

  • Parallel computing allows for large-scale scientific computations to be conducted at IACM
  • Computational framework for complex patient-specific 3D physiological flow simulations with advanced mesh geometry
  • Techniques for biofluid simulations including fluid structure interaction utilizing inverse elastostatics to correct image-based vascular geometries
  • Numerical methods for multi-physics problems (Magneto-Hemodynamics)