期刊论文详细信息
JOURNAL OF BIOMECHANICS 卷:45
Planar biaxial characterization of diseased human coronary and carotid arteries for computational modeling
Article
Kural, Mehmet H.1  Cai, Mingchao2  Tang, Dalin2  Gwyther, Tracy1  Zheng, Jie3  Billiar, Kristen L.1,4 
[1] Worcester Polytech Inst, Dept Biomed Engn, Worcester, MA 01609 USA
[2] Worcester Polytech Inst, Dept Math Sci, Worcester, MA 01609 USA
[3] Washington Univ, Dept Radiol, St Louis, MO 63130 USA
[4] Univ Massachusetts, Sch Med, Dept Surg, Worcester, MA 01655 USA
关键词: Biaxial;    Human;    Coronary;    Carotid;    Diseased;    Mechanical stress and strain;   
DOI  :  10.1016/j.jbiomech.2011.11.019
来源: Elsevier
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【 摘 要 】

Computational models have the potential to provide precise estimates of stresses and strains associated with sites of coronary plaque rupture. However, lack of adequate mathematical description of diseased human vessel wall mechanical properties is hindering computational accuracy. The goal of this study is to characterize the behavior of diseased human coronary and carotid arteries using planar biaxial testing. Diseased coronary specimens exhibit relatively high stiffness (50-210 kPa) and low extensibility (1-10%) at maximum equibiaxial stress (250 kPa) compared to human carotid specimens and values commonly reported for porcine coronary arteries. A thick neointimal layer observed histologically appears to be associated with heightened stiffness and the direction of anisotropy of the specimens. Fung. Choi-Vito and modified Mooney-Rivlin constitutive equations fit the multiaxial data from multiple stress protocols well, and parameters from representative coronary specimens were utilized in a finite element model with fluid-solid interactions. Computed locations of maximal stress and strain are substantially altered, and magnitudes of maximum principal stress (48-65 kPa) and strain (6.5-8%) in the vessel wall are lower than previously predicted using parameters from uniaxial tests. Taken together, the results demonstrate the importance of utilizing disease-matched multiaxial constitutive relationships within patient-specific computational models to accurately predict stress and strain within diseased coronary arteries. (C) 2011 Elsevier Ltd. All rights reserved.

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