Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Arterial Growth and Remodeling in Layered and Toroidal Geometries Using Constrained Mixture Theory.

International journal for numerical methods in biomedical engineering·2026
Same author

Controlled intramural fluid injection to quantify propensity to thoracic aortic dissection.

bioRxiv : the preprint server for biology·2026
Same author

Multi-omic spatial effects on high-resolution AI-derived retinal thickness.

Nature communications·2025
Same author

2024 Hong Kong College of Obstetricians and Gynaecologists Guidelines for cervical cancer prevention and screening.

Hong Kong medical journal = Xianggang yi xue za zhi·2024
Same author

Transcriptional regulation of postnatal aortic development.

Cells & development·2024
Same author

Central Artery Hemodynamics in Angiotensin II-Induced Hypertension and Effects of Anesthesia.

Annals of biomedical engineering·2024

Related Experiment Video

Updated: May 15, 2026

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens
09:29

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens

Published on: January 24, 2016

An improved panoramic digital image correlation method for vascular strain analysis and material characterization.

K Genovese1, Y-U Lee, A Y Lee

  • 1Dipartimento di Ingegneria e Fisica dell'Ambiente, Universita' degli Studi della Basilicata, Potenza 85100, Italy.

Journal of the Mechanical Behavior of Biomedical Materials
|January 8, 2013
PubMed
Summary

Researchers improved a system for measuring mouse artery mechanics, enabling more accurate data collection for computational models. This advancement aids in understanding arterial diseases and developing new treatments.

Keywords:
BiomechanicsInverse methodsMouse arteryPanoramic DIC

More Related Videos

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation
07:50

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

Published on: January 27, 2023

Monitoring the Wall Mechanics During Stent Deployment in a Vessel
08:28

Monitoring the Wall Mechanics During Stent Deployment in a Vessel

Published on: May 8, 2012

Related Experiment Videos

Last Updated: May 15, 2026

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens
09:29

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens

Published on: January 24, 2016

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation
07:50

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

Published on: January 27, 2023

Monitoring the Wall Mechanics During Stent Deployment in a Vessel
08:28

Monitoring the Wall Mechanics During Stent Deployment in a Vessel

Published on: May 8, 2012

Area of Science:

  • Biomechanics
  • Biomedical Engineering
  • Cardiovascular Research

Background:

  • Computational models of arterial mechanics require detailed regional data, which is currently lacking.
  • Mouse models are crucial for studying adaptive/maladaptive changes and disease progression in arteries.

Purpose of the Study:

  • To enhance a panoramic-digital image correlation (p-DIC) system for increased data acquisition rate and accuracy in mouse artery mechanical testing.
  • To develop a novel data analysis method for improved image reconstruction accuracy and reduced computational time.
  • To demonstrate the utility of these advancements through full-field strain measurements on mouse aortas.

Main Methods:

  • Modifications to the panoramic-digital image correlation (p-DIC) system to improve data acquisition and specimen reconstruction.
  • Development of a new data analysis method for accurate image reconstruction and efficient computation.
  • In vitro mechanical testing of excised mouse aortas, including full-field strain analysis at various pressures and elongations.

Main Results:

  • Significantly increased data acquisition rate and accuracy in specimen reconstruction and full-field strain analysis.
  • Enhanced axial measurement domain for in vitro mechanical tests on mouse arteries.
  • Demonstrated the first full-field strain measurements on mouse aortas before and after elastase exposure, showcasing improved accuracy and reduced computational time.

Conclusions:

  • The enhanced p-DIC system and new analysis method provide crucial data for computational models of arterial mechanics.
  • These advancements facilitate a better understanding of regional mechanical properties and disease progression in mouse models.
  • The findings enable improved inverse characterization of regional material properties, advancing cardiovascular research.