Uncertainty quantification in subject‐specific estimation of local vessel mechanical properties

Quantitative estimation of local mechanical properties remains critically important in the ongoing effort to elucidate how blood vessels establish, maintain, or lose mechanical homeostasis. Recent advances based on panoramic digital image correlation (pDIC) have made high‐fidelity 3D reconstructions...

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Veröffentlicht in:	International journal for numerical methods in biomedical engineering Jg. 37; H. 12; S. e3535 - n/a
Hauptverfasser:	Rego, Bruno V., Weiss, Dar, Bersi, Matthew R., Humphrey, Jay D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.12.2021 Wiley Subscription Services, Inc
Schlagworte:	Animal models Animals Aorta Bayes Theorem Bayesian analysis Biomechanical Phenomena Biomechanics Blood vessels Constitutive models digital image correlation Digital imaging Empirical analysis Homeostasis image‐based modeling Mathematical models Mechanical properties Mice Modelling Parameter uncertainty Statistical analysis Stiffness Stress, Mechanical subject‐specific model Thorax Uncertainty uncertainty quantification Workflow uncertainty quantification subject-specific model image-based modeling digital image correlation
ISSN:	2040-7939, 2040-7947, 2040-7947
Online-Zugang:	Volltext
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