title: Patient-specific computational fluid dynamics: structured mesh generation from coronary angiography.
abstract: Patient-specific simulations are widely used to investigate the local hemodynamics within realistic morphologies. However, pre-processing and mesh generation are time consuming, operator dependent, and the quality of the resulting mesh is often suboptimal. Therefore, a semi-automatic methodology for patient-specific reconstruction and structured meshing of a left coronary tree from biplane angiography is presented. Seven hexahedral grids have been generated with the new method (50,000-3,200,000 cells) and compared to nine unstructured tetrahedral grids with prismatic boundary layer (150,000-3,100,000 cells). Steady-state blood flow simulation using Computational Fluid Dynamics (CFD) has been used to calculate the Wall Shear Stress (WSS). Our results (99 percentile, area-weighted and local WSS values along a line) demonstrate that hexahedral meshes with respect to tetrahedral/prismatic meshes converge better, and for the same accuracy of the result, six times less cells and 14 times less computational time are required. Hexahedral meshes are superior to tetrahedral/prismatic meshes and should be preferred for the calculation of the WSS.
authors.affiliation: Biommeda, IBiTech, Ghent University, Ghent, Belgium. gianluca.desantis@ugent.be
authors.forename: Gianluca
authors.initials: G
authors.lastname: De Santis
authors.forename: Peter
authors.initials: P
authors.lastname: Mortier
authors.forename: Matthieu
authors.initials: M
authors.lastname: De Beule
authors.forename: Patrick
authors.initials: P
authors.lastname: Segers
authors.forename: Pascal
authors.initials: P
authors.lastname: Verdonck
authors.forename: Benedict
authors.initials: B
authors.lastname: Verhegghe
mesh_terms: D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging* / Q000503:physiopathology; D018056:Hemorheology; D006801:Humans; D057446:Hydrodynamics; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008955:Models, Cardiovascular