Wu Jian-Xing, Du Yi-Chun, Wu Ming-Jui, Li Chien-Ming, Lin Chia-Hung, Chen Tainsong
Department of Biomedical Engineering, National Cheng Kung University, Tainan City 70101, Taiwan.
Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City 71005, Taiwan.
ScientificWorldJournal. 2014;2014:203148. doi: 10.1155/2014/203148. Epub 2014 Apr 30.
This study proposes multiple-site hemodynamic analysis of Doppler ultrasound with an adaptive color relation classifier for arteriovenous access occlusion evaluation in routine examinations. The hemodynamic analysis is used to express the properties of blood flow through a vital access or a tube, using dimensionless numbers. An acoustic measurement is carried out to detect the peak-systolic and peak-diastolic velocities of blood flow from the arterial anastomosis sites (A) to the venous anastomosis sites (V). The ratio of the supracritical Reynolds (Re(supra)) number and the resistive (Res) index quantitates the degrees of stenosis (DOS) at multiple measurement sites. Then, an adaptive color relation classifier is designed as a nonlinear estimate model to survey the occlusion level in monthly examinations. For 30 long-term follow-up patients, the experimental results show the proposed screening model efficiently evaluates access occlusion.
本研究提出了一种在常规检查中利用自适应颜色关系分类器对多普勒超声进行多部位血流动力学分析,以评估动静脉通路闭塞情况。血流动力学分析用于通过无量纲数来表达通过重要通路或管道的血流特性。进行声学测量以检测从动脉吻合部位(A)到静脉吻合部位(V)的血流的收缩期峰值和舒张期峰值速度。超临界雷诺数(Re(supra))与阻力(Res)指数的比值可量化多个测量部位的狭窄程度(DOS)。然后,设计一个自适应颜色关系分类器作为非线性估计模型,以在每月检查中检测闭塞水平。对于30例长期随访患者,实验结果表明所提出的筛查模型能够有效地评估通路闭塞情况。