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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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the hemodynamics in cerebral aneurysms. Two patient-specific models of a cerebral<br />

aneurysm corresponding to patients treated by our local Department of Neuroradiology<br />

are investigated. Up to now, most studies have tried to predict parameters that increase<br />

the rupture probability without knowing exactly where the rupture sets in [5,6]. In<br />

contrast, of great importance in this study is the fact, that in both cases a rupture<br />

occurred during the medical examination without any manipulation. Due to this rare<br />

incident the region of interest (ROI) is known, unlike in usual analyses. Thereby,<br />

specific evaluations in this area are possible. Li et al. [7] investigated a ruptured cerebral<br />

aneurysm by means of CFD methods as well, but due to their simplifying assumptions<br />

of a steady, Newtonian flow no characteristic patterns in the ROI could be extracted.<br />

The hemodynamic simulations are carried out on high-quality block-structured grids to<br />

minimize the computational costs and to achieve an excellent convergence behavior.<br />

Blood is treated as an incompressible, isothermal and Newtonian fluid. To provide a<br />

realistic inflow condition a flow rate generated by a complex Fourier series is<br />

implemented.<br />

In order to determine the flow behavior in the ROI, most widely used indicators e.g.<br />

velocity magnitude, pressure distribution and wall shear stresses are analyzed and<br />

compared against each other.<br />

3. METHODS<br />

3.1 Vascular model<br />

Before the desired blood flow simulations can be carried out, it is necessary to generate<br />

a suitable geometry model. Therefore, a 3D rotational angiography (3DRA) technique<br />

was used for obtaining models with highest local resolution. The investigated cerebral<br />

aneurysms, presented in Figure 1 (a-b), were located on the middle cerebral artery<br />

(MCA) and the anterior communicating artery (ACA), respectively. In both cases the<br />

flow directs from the bottom to the top. To improve the surface quality and the realistic<br />

approximation respectively, a seeded region-growth algorithm was used for<br />

segmentation followed by a smoothing procedure [8].<br />

In order to achieve a good convergence behavior, block-structured meshes were<br />

generated using the commercial meshing software ANSYS ICEM-CFD® 13.0 (Ansys<br />

Inc., Canonsburg, PA, USA). The meshes consist of roughly 2 to 2.5 million hexahedral<br />

elements and a mesh independence study was performed in advance in order to identify<br />

the necessary grid density. An element height of 14 µm for the first layer and a growth<br />

ratio of 1.3 towards the lumen were defined (see Fig. 1 c-d).<br />

Fig. 1: Geometries of the two patient-specific cerebral aneurysms (a-b) and exemplary<br />

presentation of a block-structured hexahedral mesh (c-d)

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