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. Author manuscript; available in PMC: 2018 Dec 1.
Published in final edited form as: Comput Biol Med. 2017 Oct 24;91:353–365. doi: 10.1016/j.compbiomed.2017.10.028

Figure 6.

Figure 6

Comparison of mesh quality and computational stability in 3D CFD blood flow simulations of cerebral arterial trees reconstructed with parametric (PRM) versus unstructured meshing (UNST). (A) Global view of CFL contours for a subject-specific cerebral arterial tree mesh with PRM and UNST. Magnified insert shows a small portion of the meshes. (B) For a given step size, all cells in the PRM meshes meets the CFL condition at much lower mesh density. For the same time step, more than 80% of the cells violate the CFL criterion (>1) in UNST. (C) Equiangular skew (abbr. as Skew). PRM meshing improves mean skewness by 20%. (D) Orthogonality (abbr. as Ortho); more than 97% of the PRM cells are almost perfectly orthogonal.