Constitutive Modeling of Porcine Coronary Arteries Using Designed Experiments
| Autor: | Stacey A. Dixon, Raymond P. Vito, Russell G. Heikes |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
medicine.medical_specialty
Swine Biomedical Engineering Blood Pressure In Vitro Techniques Sensitivity and Specificity Motion Stress Physiological Physiology (medical) medicine.artery Internal medicine Axial strain Pressure medicine Animals Computer Simulation Circumflex Mathematics Strain (chemistry) Models Cardiovascular Reproducibility of Results Arteries Coronary Vessels Elasticity Coronary arteries medicine.anatomical_structure Model parameter Blood pressure Right coronary artery Cardiology Female Stress Mechanical Artery Biomedical engineering |
| Zdroj: | Journal of Biomechanical Engineering. 125:274-279 |
| ISSN: | 1528-8951 0148-0731 |
| DOI: | 10.1115/1.1560138 |
| Popis: | The development of new coronary artery constitutive models is of critical importance in the design and analysis of coronary replacement grafts. In this study, a two-parameter logarithmic complementary energy function, with normalized measured force and internal pressure as the independent variables and strains as the dependent variables, was developed for healthy porcine coronary arteries. Data was collected according to an experimental design with measured force ranging from 9.8 to 201 mN and internal pressure ranging from 0.1 to 16.1 kPa (1 to 121 mmHg). Comparisons of the estimated constitutive parameters showed statistically significant differences between the left anterior descending [LAD] and right coronary artery [RCA], but no differences between the LAD and left circumflex [LCX] or between the LCX and RCA. Point-by-point strain comparisons confirm the findings of the model parameter study and isolate the difference to the axial strain response. Average axial strains for the LAD, LCX, and RCA are 0.026±0.009,0.015±0.005, and 0.011±0.009, respectively, at all physiologic loads, suggesting that the axial strains in the LAD are significantly higher than in the other regions. |
| Databáze: | OpenAIRE |
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