Skip to main navigation Skip to search Skip to main content

Full-field strain mapping of healthy and pathological mouse aortas using stereo digital image correlation

  • Brooks A. Lane
  • , Ricardo J. Cardoza
  • , Susan M. Lessner
  • , Narendra R. Vyavahare
  • , Michael A. Sutton
  • , John F. Eberth

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish
Article number105745
JournalJournal of the Mechanical Behavior of Biomedical Materials
Volume141
DOIs
StatePublished - May 2023

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Ltd

Funding

Funding for this work was provided by the National Institutes of Health under grant numbers ( R01HL133662 and R01HL145064 ) and by the National Science Foundation under grant number ( CMMI 1760906 ).

FundersFunder number
National Science Foundation Arctic Social Science ProgramCMMI 1760906
National Institutes of Health (NIH)R01HL145064, R01HL133662

    Keywords

    • Arterial biomechanics
    • DIC
    • Mouse aortopathy
    • Stereo imaging
    • Strain map

    ASJC Scopus subject areas

    • Biomaterials
    • Biomedical Engineering
    • Mechanics of Materials

    Fingerprint

    Dive into the research topics of 'Full-field strain mapping of healthy and pathological mouse aortas using stereo digital image correlation'. Together they form a unique fingerprint.

    Cite this