title: Computational fluid dynamics in brain aneurysms.
abstract: Because of its ability to deal with any geometry, image-based computational fluid dynamics (CFD) has been progressively used to investigate the role of hemodynamics in the underlying mechanisms governing the natural history of cerebral aneurysms. Despite great progress in methodological developments and many studies using patient-specific data, there are still significant controversies about the precise governing processes and divergent conclusions from apparently contradictory results. Sorting out these issues requires a global vision of the state of the art and a unified approach to solving this important scientific problem. Towards this end, this paper reviews the contributions made using patient-specific CFD models to further the understanding of these mechanisms, and highlights the great potential of patient-specific computational models for clinical use in the assessment of aneurysm rupture risk and patient management.
authors.affiliation: Center for Computational Fluid Dynamics, School of Physics, Astronomy and Computational Sciences, George Mason University, 4400 University Drive, MSN 6A2, Fairfax, VA 22030, USA. dsforza@gmu.edu.
authors.forename: Daniel M
authors.initials: DM
authors.lastname: Sforza
authors.forename: Christopher M
authors.initials: CM
authors.lastname: Putman
authors.forename: Juan R
authors.initials: JR
authors.lastname: Cebral
mesh_terms: D002533:Cerebral Angiography / Q000379:methods*; D002560:Cerebrovascular Circulation / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D057446:Hydrodynamics; D002532:Intracranial Aneurysm / Q000503:physiopathology*
keywords: cerebral aneurysm; computational fluid dynamics; growth; hemodynamics; initiation; rupture