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Proceedings Paper

Evaluation of an asymmetric stent patch design for a patient specific intracranial aneurysm using computational fluid dynamic (CFD) calculations in the computed tomography (CT) derived lumen
Author(s): Minsuok Kim; Ciprian Ionita; Rekha Tranquebar; Kenneth R. Hoffmann; Dale B. Taulbee; Hui Meng; Stephen Rudin
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Paper Abstract

Stenting may provide a new, less invasive therapeutic option for cerebral aneurysms. However, a conventional porous stent may be insufficient in modifying the blood flow for clinical aneurysms. We designed an asymmetric stent consisting of a low porosity patch welded onto a porous stent for an anterior cerebral artery aneurysm of a specific patient geometry to block the strong inflow jet. To evaluate the effect of the patch on aneurysmal flow dynamics, we "virtually" implanted it into the patient's aneurysm geometry and performed Computational Fluid Dynamics (CFD) analysis. The patch was computationally deformed to fit into the vessel lumen segmented from the patient CT reconstructions. After the flow calculations, a patch with the same design was fabricated using laser cutting techniques and welded onto a commercial porous stent, creating a patient-specific asymmetric stent. This stent was implanted into a phantom, which was imaged with X-ray angiography. The hemodynamics of untreated and stented aneurysms were compared both computationally and experimentally. It was found from CFD of the patient aneurysm that the asymmetric stent effectively blocked the strong inflow jet into the aneurysm and eliminated the flow impingement on the aneurysm wall at the dome. The impact zone with elevated wall shear stress was eliminated, the aneurysmal flow activity was substantially reduced, and the flow was considerably reduced. Experimental observations corresponded well qualitatively with the CFD results. The demonstrated asymmetric stent could lead to a new minimally invasive image guided intervention to reduce aneurysm growth and rupture.

Paper Details

Date Published: 13 March 2006
PDF: 8 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61432G (13 March 2006); doi: 10.1117/12.651773
Show Author Affiliations
Minsuok Kim, Univ. at Buffalo (United States)
Ciprian Ionita, Univ. at Buffalo (United States)
Rekha Tranquebar, Univ. at Buffalo (United States)
Kenneth R. Hoffmann, Univ. at Buffalo (United States)
Dale B. Taulbee, Univ. at Buffalo (United States)
Hui Meng, Univ. at Buffalo (United States)
Stephen Rudin, Univ. at Buffalo (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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