@article{ralovich:2011aortaflow,
  author = {Krist\'{o}f Ralovich \and Razvan Ionasec \and Viorel Mihalef \and Sharma Puneet \and Bogdan Georgescu \and Allen Everett \and Nassir Navab \and Dorin Comaniciu},
  title = {Computational Fluid Dynamics Framework for Large-Scale Simulation in Pediatric Cardiology},
  year = {2011},
  journal = {Computational Biomechanics for Medicine VI (CBM6) MICCAI Workshop},
  abstract = {There is a high demand for patient specific
                  cardiovascular therapeutics, especially in pediatric
                  cardiology which is confronted with complex and
                  rather unique congenital diseases. Current
                  predictors for disease severity and treatment
                  selection have been proven to be suboptimal creating
                  profound burden of premature morbidity and
                  mortality. Over the past decade, the influence of
                  blood hemodynamics has become increasingly
                  acknowledged, especially in the context of
                  congenital diseases of the aortic arch. MRI-based 2D
                  and 3D flow measurements are nowadays possible,
                  although restricted by cumbersome acquisition
                  protocols and limited acquisition
                  resolution. Computational fluid dynamics offers a
                  valuable alternative that also enables treatment
                  outcome prediction.  However, the current methods
                  rely on a sequence of complicated manual steps that
                  lack the scalability required within clinical
                  settings. We propose a computation framework for
                  large-scale hemodynamics simulations in pediatric
                  cardiology to aid diagnostic and therapy decision
                  making in patients affected by congenital disease of
                  the aortic valve and the aorta. Our method provides
                  a deterministic and streamlined processing pipeline
                  to perform computational fluid dynamics simulations
                  based on patient-specific boundary conditions. Thus,
                  blood flow simulations are performed using an
                  embedded boundary method within a level-set
                  formulation with boundary conditions provided by
                  patient-specific anatomical and hemodynamical
                  models. The capabilities of our framework are
                  demonstrated by performing blood flow analysis on
                  patients selected from a FDA sponsored multi-center
                  clinical trial.},
}