2010
DOI: 10.1007/s11517-010-0583-4
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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 comp… Show more

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Cited by 71 publications
(54 citation statements)
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“…As expected, tetrahedral (unstructured) meshes needed much higher resolution than structured meshes to reach mesh independency, with higher computational costs (computational time and memory). Interestingly, the wall shear stress did plateau with progressive refinement of structured meshes but not when unstructured meshes were used [12]. Such differences are also reported in other studies and are attributed to the high numerical diffusion error associated with unstructured meshes [13][14][15].…”
Section: Introductionmentioning
confidence: 49%
“…As expected, tetrahedral (unstructured) meshes needed much higher resolution than structured meshes to reach mesh independency, with higher computational costs (computational time and memory). Interestingly, the wall shear stress did plateau with progressive refinement of structured meshes but not when unstructured meshes were used [12]. Such differences are also reported in other studies and are attributed to the high numerical diffusion error associated with unstructured meshes [13][14][15].…”
Section: Introductionmentioning
confidence: 49%
“…The rheological behavior of blood was simulated considering a constant dynamic viscosity value of 0.0035 kg/(m.s), a reasonable assumption for bulk flow metrics [22,23]. Newtonian rheology is reasonable in the context of fluid precision and uncertainties related to boundary conditions [11,[23][24][25]. The volume-filling finite element meshes consisted of nearly 60000 quadratic hexahedral finite elements.…”
Section: Blood Flow Modelmentioning
confidence: 99%
“…De Santis et al [3][4][5][6] proposed several methods based on combinations of surface slicing, spline reconstruction and mapping. For example, these authors developed methods to generate conforming, structured hexahedral meshes from triangulated surfaces [5] or from centerline-based synthetic descriptors (centerlines, radii and centerline normals) in combination with block structures [6].…”
Section: Introductionmentioning
confidence: 99%