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彩色多谱勒血流显像对颈总动脉壁切应力的空间分布研究。

Spatial distribution of wall shear stress in common carotid artery by color Doppler flow imaging.

机构信息

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

出版信息

J Digit Imaging. 2013 Jun;26(3):466-71. doi: 10.1007/s10278-012-9505-3.

DOI:10.1007/s10278-012-9505-3
PMID:22832893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3649053/
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/cm(2), while it was (7.13 ± 1.24) dyne/cm(2) 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.

摘要

本研究旨在提供一种新方法,用于测量活体颈总动脉壁切应力(WSS)的空间分布。通过对 50 名健康志愿者的彩色多普勒血流成像(CDFI)进行数字图像处理,确定 WSS 分布。为了评估空间分布的可行性,将 WSS 分布的平均值与传统 WSS 计算方法(Hagen-Poiseuille 公式)的结果进行比较。在我们的研究中,50 名健康志愿者的 WSS 分布平均值为(6.91±1.20)dyne/cm²,而 Hagen-Poiseuille 方法的平均值为(7.13±1.24)dyne/cm²。差异无统计学意义(t=-0.864,p=0.604)。因此,证明了 WSS 空间分布的可行性。此外,这种新方法可以为每位志愿者提供剪切应力的三维分布和剪切应力与超声图像的融合图像,使 WSS“可见”。总之,WSS 的空间分布可用于活体 WSS 的计算。此外,它可以提供比 Hagen-Poiseuille 公式更详细的 WSS 分布值。

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