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Medical & Biological Engineering & Computing

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21-07-2016 | Original Article

Computational study for the effects of coil configuration on blood flow characteristics in coil-embolized cerebral aneurysm

Authors: Tomohiro Otani, Satoshi Ii, Tomoyoshi Shigematsu, Toshiyuki Fujinaka, Masayuki Hirata, Tomohiko Ozaki, Shigeo Wada

Published in: Medical & Biological Engineering & Computing | Issue 5/2017

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Abstract

Coil embolization of cerebral aneurysms with inhomogeneous coil distribution leads to an incomplete occlusion of the aneurysm. However, the effects of this factor on the blood flow characteristics are still not fully understood. This study investigates the effects of coil configuration on the blood flow characteristics in a coil-embolized aneurysm using computational fluid dynamics (CFD) simulation. The blood flow analysis in the aneurysm with coil embolization was performed using a coil deployment (CD) model, in which the coil configuration was constructed using a physics-based simulation of the CD. In the CFD results, total flow momentum and kinetic energy in the aneurysm gradually decayed with increasing coil packing density (PD), regardless of the coil configuration attributed to deployment conditions. However, the total shear rate in the aneurysm was relatively high and the strength of the local shear flow varied based on the differences in coil configuration, even at adequate PDs used in clinical practice (20–25 %). Because the sufficient shear rate reduction is a well-known factor in the blood clot formation occluding the aneurysm inside, the present study gives useful insight into the effects of coil configuration on the treatment efficiency of coil embolization.

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Title: Computational study for the effects of coil configuration on blood flow characteristics in coil-embolized cerebral aneurysm
Authors: Tomohiro Otani
Satoshi Ii
Tomoyoshi Shigematsu
Toshiyuki Fujinaka
Masayuki Hirata
Tomohiko Ozaki
Shigeo Wada
Publication date: 21-07-2016
Publisher: Springer Berlin Heidelberg
Published in: Medical & Biological Engineering & Computing / Issue 5/2017
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI: https://doi.org/10.1007/s11517-016-1541-6

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