Full-field strain mapping of healthy and pathological mouse aortas using stereo digital image correlation.
Arterial biomechanics
DIC
Mouse aortopathy
Stereo imaging
Strain map
Journal
Journal of the mechanical behavior of biomedical materials
ISSN: 1878-0180
Titre abrégé: J Mech Behav Biomed Mater
Pays: Netherlands
ID NLM: 101322406
Informations de publication
Date de publication:
05 2023
05 2023
Historique:
received:
19
07
2022
revised:
01
02
2023
accepted:
26
02
2023
pmc-release:
01
05
2024
medline:
11
4
2023
pubmed:
10
3
2023
entrez:
9
3
2023
Statut:
ppublish
Résumé
The murine aorta is a complex, heterogeneous structure that undergoes large and sometimes asymmetrical deformations under loading. For analytical convenience, mechanical behavior is predominantly described using global quantities that fail to capture critical local information essential to elucidating aortopathic processes. Here, in our methodological study, we used stereo digital image correlation (StereoDIC) to measure the strain profiles of speckle-patterned healthy and elastase-infused, pathological mouse aortas submerged in a temperature-controlled liquid medium. Our unique device rotates two 15-degree stereo-angle cameras that gather sequential digital images while simultaneously performing conventional biaxial pressure-diameter and force-length testing. A StereoDIC Variable Ray Origin (VRO) camera system model is employed to correct for high-magnification image refraction through hydrating physiological media. The resultant Green-Lagrange surface strain tensor was quantified at different blood vessel inflation pressures, axial extension ratios, and after aneurysm-initiating elastase exposure. Quantified results capture large, heterogeneous, inflation-related, circumferential strains that are drastically reduced in elastase-infused tissues. Shear strains, however, were very small on the tissue's surface. Spatially averaged StereoDIC-based strains were generally more detailed than those determined using conventional edge detection techniques.
Identifiants
pubmed: 36893686
pii: S1751-6161(23)00098-X
doi: 10.1016/j.jmbbm.2023.105745
pmc: PMC10081968
mid: NIHMS1881328
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
105745Subventions
Organisme : NIGMS NIH HHS
ID : P30 GM131959
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL133662
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL145064
Pays : United States
Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest Naren Vyavahare, John F. Eberth, and Susan M. Lessner reports financial support was provided by National Institutes of Health. Susan Lessner and John Eberth reports financial support was provided by National Science Foundation. Michael A. Sutton reports a relationship with Correlated Solutions, Incorporated that includes: board membership and equity or stocks. Michael A. Sutton is the Chief Scientific Officer for Correlated Solutions, Incorporated. No other authors have conflicts of interest to declare.
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