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Proceedings Paper

Flow modification in canine intracranial aneurysm model by an asymmetric stent: studies using digital subtraction angiography (DSA) and image-based computational fluid dynamics (CFD) analyses
Author(s): Yiemeng Hoi; Ciprian N. Ionita; Rekha V. Tranquebar; Kenneth R. Hoffmann; Scott H. Woodward; Dale B. Taulbee; Hui Meng; Stephen Rudin
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Paper Abstract

An asymmetric stent with low porosity patch across the intracranial aneurysm neck and high porosity elsewhere is designed to modify the flow to result in thrombogenesis and occlusion of the aneurysm and yet to reduce the possibility of also occluding adjacent perforator vessels. The purposes of this study are to evaluate the flow field induced by an asymmetric stent using both numerical and digital subtraction angiography (DSA) methods and to quantify the flow dynamics of an asymmetric stent in an in vivo aneurysm model. We created a vein-pouch aneurysm model on the canine carotid artery. An asymmetric stent was implanted at the aneurysm, with 25% porosity across the aneurysm neck and 80% porosity elsewhere. The aneurysm geometry, before and after stent implantation, was acquired using cone beam CT and reconstructed for computational fluid dynamics (CFD) analysis. Both steady-state and pulsatile flow conditions using the measured waveforms from the aneurysm model were studied. To reduce computational costs, we modeled the asymmetric stent effect by specifying a pressure drop over the layer across the aneurysm orifice where the low porosity patch was located. From the CFD results, we found the asymmetric stent reduced the inflow into the aneurysm by 51%, and appeared to create a stasis-like environment which favors thrombus formation. The DSA sequences also showed substantial flow reduction into the aneurysm. Asymmetric stents may be a viable image guided intervention for treating intracranial aneurysms with desired flow modification features.

Paper Details

Date Published: 13 March 2006
PDF: 10 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61430J (13 March 2006); doi: 10.1117/12.650624
Show Author Affiliations
Yiemeng Hoi, Univ. at Buffalo, SUNY (United States)
Ciprian N. Ionita, Univ. at Buffalo, SUNY (United States)
Rekha V. Tranquebar, Univ. at Buffalo, SUNY (United States)
Kenneth R. Hoffmann, Univ. at Buffalo, SUNY (United States)
Scott H. Woodward, Univ. at Buffalo, SUNY (United States)
Dale B. Taulbee, Univ. at Buffalo, SUNY (United States)
Hui Meng, Univ. at Buffalo, SUNY (United States)
Stephen Rudin, Univ. at Buffalo, SUNY (United States)


Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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