NDLI: Assessment of pulsatile wall shear stress in compliant arteries: Numerical model, validation and experimental data

Content Provider	IEEE Xplore Digital Library
Author	Salvucci, F.P. Perazzo, C.A. Barra, J.G. Armentano, R.L.
Copyright Year	2009
Description	Author affiliation: School of Engineering and Natural and Exact Sciences, Favaloro University, Buenos Aires, Argentina (Salvucci, F.P.; Perazzo, C.A.; Barra, J.G.; Armentano, R.L.)
Abstract	There is evidence that wall shear stress (WSS) is associated with vascular disease. In particular, it is widely accepted that vascular segments with low or oscillatory values of WSS are more probable to develop vascular disease. It is then necessary to establish a realistic model of the blood flow in blood vessels in order to determine precisely WSS. We proposed a numerical 1D model which takes into account the pulsatile nature of blood flow, the elasticity of the vessel, and its geometry. The model allows the calculation of shear stress. It was validated for stationary situations. Then, we computed the time-dependent WSS distribution from experimental data in the sheep thoracic aorta. Results showed that mean WSS calculated through steady flow and rigid walls models is overestimated. Peak WSS values for pulsatile flow must be considered since they resulted to be at least one order higher than mean values. Oscillations in shear stress in a period showed to be approximately of 40%. These findings show that the proposed model is suitable for estimating time-dependent WSS distributions, and confirm the need of using this kind of model when trying to evaluate realistic WSS in blood vessels.
Starting Page	2847
Ending Page	2850
File Size	427832
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333648
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stress Arteries Numerical models Diseases Blood flow Blood vessels Solid modeling Elasticity Geometry Distributed computing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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