Influence of material parameter variability on the predicted coronary artery biomechanical environment via uncertainty quantification
Author:
Funder
American Heart Association
Directorate for Engineering
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10237-023-01814-2.pdf
Reference52 articles.
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2. Bracamonte JH, Wilson JS, Soares JS (2020) Assessing patient-specific mechanical properties of aortic wall and peri-aortic structures From in vivo DENSE magnetic resonance imaging using an inverse finite element method and elastic foundation boundary conditions. J Biomech Eng 142:121011. https://doi.org/10.1115/1.4047721
3. Brown AJ, Teng Z, Evans PC et al (2016) Role of biomechanical forces in the natural history of coronary atherosclerosis. Nat Rev Cardiol 13:210–220. https://doi.org/10.1038/nrcardio.2015.203
4. Burk KM, Narayan A, Orr JA (2020) Efficient sampling for polynomial chaos-based uncertainty quantification and sensitivity analysis using weighted approximate Fekete points. Int J Numer Method Biomed Eng 36:e3395. https://doi.org/10.1002/cnm.3395
5. Burton AC (1954) Relation of structure to function of the tissues of the wall of blood vessels. Physiol Rev 34:619–642. https://doi.org/10.1152/physrev.1954.34.4.619
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