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作者:

Wang, Wenxin (Wang, Wenxin.) | Tang, Dalin (Tang, Dalin.) | Mao, Boyan (Mao, Boyan.) | Li, Bao (Li, Bao.) | Zhao, Xi (Zhao, Xi.) | Liu, Jian (Liu, Jian.) | Liu, Youjun (Liu, Youjun.) (学者:刘有军)

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EI Scopus SCIE

摘要:

Fractional flow reserve (FFR) is the gold standard to identify individual stenosis causing myocardial ischemia in catheter laboratory. The purpose of this study is to present a fast simulation method to estimate FFR value of a coronary artery, which can evaluate the performance of vascular stenosis, based on resistance boundary conditions. A patient-specific 3-dimensional (3D) model of the left coronary system with intermediate diameter stenosis was reconstructed based on the CTA images. The resistance boundary conditions used to simulate the coronary microcirculation were computed based on anatomical reconstruction of coronary 3D model. This study was performed by coupling the 3D coronary tree model with the lumped parameter model (OD model). The flow rate and pressure of coronary tree were calculated in twenty minutes. In addition, the effect of inlet pressure and myocardial mass on FFRss values has been investigated. The results showed that the effect of myocardial mass was greater than the effect of inlet pressure on FFRss. This FFRss simulation method can quickly and accurately assess the influence of coronary stenosis in aid clinical diagnosis.

关键词:

resistance boundary condition fractional flow reserve Computational fluid dynamics

作者机构:

  • [ 1 ] [Wang, Wenxin]Beijing Univ Technol, Coll Life Sci & Bioengn, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 2 ] [Mao, Boyan]Beijing Univ Technol, Coll Life Sci & Bioengn, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Bao]Beijing Univ Technol, Coll Life Sci & Bioengn, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Youjun]Beijing Univ Technol, Coll Life Sci & Bioengn, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 5 ] [Wang, Wenxin]Worcester Polytech Inst, Math Sci, 100 Inst Rd, Worcester, MA 01609 USA
  • [ 6 ] [Tang, Dalin]Worcester Polytech Inst, Math Sci, 100 Inst Rd, Worcester, MA 01609 USA
  • [ 7 ] [Zhao, Xi]Healthcare Co Ltd, Shanghai United Imaging, 2258 Chengbei Rd, Shanghai, Peoples R China
  • [ 8 ] [Liu, Jian]Peking Univ, Dept Cardiol, Peoples Hosp, 133 Xizhimen South St, Beijing, Peoples R China

通讯作者信息:

  • 刘有军

    [Liu, Youjun]Beijing Univ Technol, Coll Life Sci & Bioengn, 100 Pingleyuan, Beijing 100124, Peoples R China

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来源 :

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

ISSN: 1526-1492

年份: 2018

期: 2

卷: 116

页码: 163-173

2 . 4 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:161

JCR分区:4

被引次数:

WoS核心集被引频次: 8

SCOPUS被引频次: 9

ESI高被引论文在榜: 0 展开所有

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