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Spatial Distribution of Wall Shear Stress in Common Carotid Artery by Color Doppler Flow Imaging

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Abstract

The purpose of this study is to provide a novel approach for measuring the spatial distribution of wall shear stress (WSS) in common carotid artery in vivo. WSS distributions were determined by digital image processing from color Doppler flow imaging (CDFI) in 50 healthy volunteers. In order to evaluate the feasibility of the spatial distribution, the mean values of WSS distribution were compared to the results of conventional WSS calculating method (Hagen–Poiseuille formula). In our study, the mean value of WSS distribution from 50 healthy volunteers was (6.91 ± 1.20) dyne/cm2, while it was (7.13 ± 1.24) dyne/cm2 by Hagen–Poiseuille approach. The difference was not statistically significant (t = −0.864, p = 0.604). Hence, the feasibility of the spatial distribution of WSS was proved. Moreover, this novel approach could provide three-dimensional distribution of shear stress and fusion image of shear stress with ultrasonic image for each volunteer, which made WSS “visible”. In conclusion, the spatial distribution of WSS could be used for WSS calculation in vivo. Moreover, it could provide more detailed values of WSS distribution than those of Hagen–Poiseuille formula.

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Acknowledgments

The study was financed by the fund of scientific and technological development in Pudong New District of Shanghai, China (no. PKJ2010-Y16) and the fund for cardiovascular diseases in Pudong New District of Shanghai, China (No. PWZxkq).

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Authors and Affiliations

  1. Division of Cardiac Function, Heart Center, Shanghai East Hospital, Tongji Medical School, Tongji University, No. 150, Jimo Road, Shanghai, 200120, China

    Chao Wang, Ming Chen, Sheng-lin Liu, Yi Liu, Jia-mei Jin & Yu-hui Zhang

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  1. Chao Wang
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  2. Ming Chen
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  3. Sheng-lin Liu
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  4. Yi Liu
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  5. Jia-mei Jin
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  6. Yu-hui Zhang
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Correspondence to Ming Chen.

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Wang, C., Chen, M., Liu, Sl. et al. Spatial Distribution of Wall Shear Stress in Common Carotid Artery by Color Doppler Flow Imaging. J Digit Imaging 26, 466–471 (2013). https://doi.org/10.1007/s10278-012-9505-3

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  • DOI: https://doi.org/10.1007/s10278-012-9505-3

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