Patient-specific computational fluid dynamics: structured mesh generation from coronary angiography
- 756 Downloads
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.
KeywordsPatient-specific Structured hexahedral mesh Biplane angiography pyFormex CFD
The authors thank Dr. Yves Taeymans, PhD, Bram Trachet, and Thomas De Schryver for their valuable support, and the Philips Medical System Nederland B.V., Best, The Netherlands.
- 1.Agostoni P, Biondi-Zoccai G, Van Langenhove G, Cornelis K, Vermeersch P, Convens C, Vassanelli C, Van Den Heuvel P, Van Den Branden F, Verheye S (2008) Comparison of assessment of native coronary arteries by standard versus three-dimensional coronary angiography. Am J Cardiol 102:272CrossRefGoogle Scholar
- 7.Carlier SG, van Damme LCA, Blommerde CP, Wentzel JJ, van Langehove G, Verheye S, Kockx MM, Knaapen MWM, Cheng C, Gijsen F, Duncker DJ, Stergiopulos N, Slager CJ, Serruys PW, Krams R (2003) Augmentation of wall shear stress inhibits neointimal hyperplasia after stent implantation—inhibition through reduction of inflammation? Circulation 107:2741CrossRefGoogle Scholar
- 14.Morbiducci U, Ponzini R, Rizzo G, Cadioli M, Esposito A, De Cobelli F, Del Maschio A, Montevecchi FM, Redaelli A (2009) In vivo quantification of helical blood flow in human aorta by time-resolved three-dimensional cine phase contrast magnetic resonance imaging. Ann Biomed Eng 37:516CrossRefGoogle Scholar
- 15.Nichols WW, O’Rourke MF (2005) McDonald’s blood flow in arteries, 5th edn. Edward Arnold, LondonGoogle Scholar
- 20.Preim B, Oeltze S (2008) 3D visualization of vasculature: an overview. In: Linsen L, Hagen H, Hamann B (eds) Visualization in medicine and life sciences. Springer-Verlag, Berlin, p 19Google Scholar
- 22.Soulis JV, Giannoglou GD, Papaioannou V, Parcharidis GE, Louridas GE (2008). Low-density lipoprotein concentration in the normal left coronary artery tree. Biomed Eng Online 7Google Scholar
- 23.Starmans-Kool MJ, Stanton AV, Zhao SZ, Xu XY, Thom SAM, Hughes AD (2002) Measurement of hemodynamics in human carotid artery using ultrasound and computational fluid dynamics. J Appl Physiol 92:957Google Scholar
- 27.Wellnhofer E, Goubergrits L, Kertzscher U, Affeld K (2006). In vivo coronary flow profiling based on biplane angiograms: influence of geometric simplifications on the three-dimensional reconstruction and wall shear stress calculation. Biomed Eng Online 5Google Scholar