Journal: Computers in biology and medicine
Article Title: Large-scale subject-specific cerebral arterial tree modeling using automated parametric mesh generation for blood flow simulation
doi: 10.1016/j.compbiomed.2017.10.028
Figure Lengend Snippet: Comparison of unsteady CFD blood flow simulation between PRM and UNST for subject-specific cerebrovascular trees. (A) Hemodynamic states along polylines (marked as dashed lines) passing from ICA and BA to downstream vessels of the arterial tree were plotted to compare predictions of blood pressure, velocity, wall shear stress and vorticity magnitude of parametric and unstructured meshes. Simulation results for WSS (B) and vorticity magnitude (C) of the UNST (black solid-line) and PRM meshes (blue solid-lines). The first, second and third rows correspond to the results at peak-systole, mid-diastole, and end-diastole of the cardiac cycle, respectively. Maximum WSS and vorticity magnitude differences were less than 5% and 3% over one cardiac cycle. PRM meshes required at least 10 times fewer elements to reach mesh-independent hemodynamic results.
Article Snippet: To overcome this problem for large-scale modeling, we synthesized unstructured tetrahedral/prism meshes by using parametric surface meshes (PRM) and Delaunay method in ANSYS ICEMCFD (ANSYS Inc., Canonsburg, Pa., USA).
Techniques: Comparison, Shear