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Uncertainty Quantification in Subject‐specific Estimation of Local Vessel Mechanical Properties by Bruno V. Rego; Dar Weiss; Matthew R. Bersi; Jay D. Humphrey is a Medicine article available to read on EtoBox.

What is Uncertainty Quantification in Subject‐specific Estimation of Local Vessel Mechanical Properties about?

## Abstract 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 of small‐animal (e.g., murine) vessels possible when imaged in a variety of quasi‐statically loaded configurations. While we have previously developed and validated inverse modeling approaches to translate pDIC‐measured surface deformations into biomechanical metrics of interest, our workflow did not heretofore include a methodology to quantify uncertainties associated with local point estimates of mechanical properties. This limitation has compromised our ability to infer biomechanical properties on a subject‐specific basis, such as whether stiffness differs significantly between multiple material locations on the same vessel or whether stiffness differs significantly between multiple vessels at a corresponding material location. In the present study, we have integrated a novel uncertainty quantification and propagation pipeline within our inverse modeling approach, relying

Who reads Uncertainty Quantification in Subject‐specific Estimation of Local Vessel Mechanical Properties?

Author

Bruno V. Rego; Dar Weiss; Matthew R. Bersi; Jay D. Humphrey

Publisher

Wiley

Published

2021

Field

Medicine (Health Sciences)