M A Castro1, C M Putman, J R Cebral. 1. School of Computational Sciences, George Mason University, Fairfax, VA 22042, USA.
Abstract
PURPOSE: The purpose of this study is to show the influence of the upstream parent artery geometry on intraaneurysmal hemodynamics of cerebral aneurysms. METHODS: Patient-specific models of 4 cerebral aneurysms (1 posterior communicating artery [PcomA], 2 middle cerebral artery [MCA], and 1 anterior communicating artery [AcomA]) were constructed from 3D rotational angiography images. Two geometric models were constructed for each aneurysm. One model had the native parent vessel geometry; the second model was truncated approximately 1 cm upstream from the aneurysm, and the parent artery replaced with a straight cylinder. Corresponding finite element grids were generated and computational fluid dynamics simulations were carried out under pulsatile flow conditions. The intra-aneurysmal flow patterns and wall shear stress (WSS) distributions were visualized and compared. RESULTS: Models using the truncated parent vessel underestimated the WSS in the aneurysms in all cases and shifted the impaction zone to the neck compared with the native geometry. These effects were more pronounced in the PcomA and AcomA aneurysms where upstream curvature was substantial. The MCA aneurysm with a long M1 segment was the least effected. The more laminar flow pattern within the parent vessel in truncated models resulted in a less complex intra-aneurysmal flow patterns with fewer vortices and less velocity at the dome. CONCLUSIONS: Failure to properly model the inflow stream contributed by the upstream parent artery can significantly influence the results of intra-aneurysmal hemodynamic models. The upstream portion of the parent vessel of cerebral aneurysms should be included to accurately represent the intra-aneurysmal hemodynamics.
PURPOSE: The purpose of this study is to show the influence of the upstream parent artery geometry on intraaneurysmal hemodynamics of cerebral aneurysms. METHODS:Patient-specific models of 4 cerebral aneurysms (1 posterior communicating artery [PcomA], 2 middle cerebral artery [MCA], and 1 anterior communicating artery [AcomA]) were constructed from 3D rotational angiography images. Two geometric models were constructed for each aneurysm. One model had the native parent vessel geometry; the second model was truncated approximately 1 cm upstream from the aneurysm, and the parent artery replaced with a straight cylinder. Corresponding finite element grids were generated and computational fluid dynamics simulations were carried out under pulsatile flow conditions. The intra-aneurysmal flow patterns and wall shear stress (WSS) distributions were visualized and compared. RESULTS: Models using the truncated parent vessel underestimated the WSS in the aneurysms in all cases and shifted the impaction zone to the neck compared with the native geometry. These effects were more pronounced in the PcomA and AcomA aneurysms where upstream curvature was substantial. The MCA aneurysm with a long M1 segment was the least effected. The more laminar flow pattern within the parent vessel in truncated models resulted in a less complex intra-aneurysmal flow patterns with fewer vortices and less velocity at the dome. CONCLUSIONS: Failure to properly model the inflow stream contributed by the upstream parent artery can significantly influence the results of intra-aneurysmal hemodynamic models. The upstream portion of the parent vessel of cerebral aneurysms should be included to accurately represent the intra-aneurysmal hemodynamics.
Authors: Juan R Cebral; Marcelo A Castro; Sunil Appanaboyina; Christopher M Putman; Daniel Millan; Alejandro F Frangi Journal: IEEE Trans Med Imaging Date: 2005-04 Impact factor: 10.048
Authors: H Ujiie; H Tachibana; O Hiramatsu; A L Hazel; T Matsumoto; Y Ogasawara; H Nakajima; T Hori; K Takakura; F Kajiya Journal: Neurosurgery Date: 1999-07 Impact factor: 4.654
Authors: S Tateshima; Y Murayama; J P Villablanca; T Morino; H Takahashi; T Yamauchi; K Tanishita; F Vinuela Journal: J Neurosurg Date: 2001-12 Impact factor: 5.115
Authors: Liang-Der Jou; Christopher M Quick; William L Young; Michael T Lawton; Randall Higashida; Alastair Martin; David Saloner Journal: AJNR Am J Neuroradiol Date: 2003-10 Impact factor: 3.825
Authors: L Goubergrits; J Schaller; U Kertzscher; N van den Bruck; K Poethkow; Ch Petz; H-Ch Hege; A Spuler Journal: J R Soc Interface Date: 2011-09-28 Impact factor: 4.118
Authors: A J Geers; I Larrabide; A G Radaelli; H Bogunovic; M Kim; H A F Gratama van Andel; C B Majoie; E VanBavel; A F Frangi Journal: AJNR Am J Neuroradiol Date: 2010-12-23 Impact factor: 3.825
Authors: Marcelo A Castro; María C Ahumada Olivares; Christopher M Putman; Juan R Cebral Journal: Med Biol Eng Comput Date: 2014-08-26 Impact factor: 2.602
Authors: I G H Jansen; J J Schneiders; W V Potters; P van Ooij; R van den Berg; E van Bavel; H A Marquering; C B L M Majoie Journal: AJNR Am J Neuroradiol Date: 2014-03-20 Impact factor: 3.825
Authors: Pankaj K Singh; Alberto Marzo; Stuart C Coley; Guntram Berti; Philippe Bijlenga; Patricia V Lawford; Mari-Cruz Villa-Uriol; Daniel A Rufenacht; Keith M McCormack; Alejandro Frangi; Umang J Patel; D Rodney Hose Journal: Comput Intell Neurosci Date: 2009-08-19