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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

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

Sort by
Same author

Impact Microindentation Evaluates Bone Strength, Bone Quality, and Fracture Susceptibility Across Skeletal Sites: A Cadaver Study.

Clinical orthopaedics and related research·2026
Same author

Viscoelastic and Morphologic Changes in the Lumbar Intervertebral Discs of the 5xFAD Mouse Model of Alzheimer's Disease.

JOR spine·2026
Same author

Loss of type III collagen has limited effect on tendon healing in young adult mice.

Matrix biology : journal of the International Society for Matrix Biology·2026
Same author

Genetic and pharmacologic modulation of RAGE rescues the diabetes-mediated impairments to bone at multiple length scales.

bioRxiv : the preprint server for biology·2026
Same author

A Decade of Leadership and Impact: Celebrating 10 Years of the ORS Spine Section.

JOR spine·2026
Same author

Statistical nonParametric Mapping Enables Rigorous Comparison of Collagen Fibril Diameter Distributions.

Annals of biomedical engineering·2026

Related Experiment Video

Updated: Jun 30, 2026

Biomechanical Testing of Murine Tendons
10:09

Biomechanical Testing of Murine Tendons

Published on: October 15, 2019

13.6K

Quantative MRI predicts tendon mechanical behavior, collagen composition, and organization.

Jennifer A Zellers1,2, Masoud Edalati3, Jeremy D Eekhoff4

  • 1Program in Physical Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.

Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society
|November 3, 2022
PubMed
Summary

Quantitative MRI (qMRI) reveals strong links between tendon T2 values and mechanical properties, while diffusion tensor imaging (DTI) metrics correlate with collagen content, offering noninvasive insights into tendon health.

Keywords:
Achillesdiagnostic imagingdiffusion tensor imagingmechanical propertiesmusculoskeletal imaging

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

2.2K
Author Spotlight: Unraveling the Mechanobiology of Tendon Impingement – A Multiaxial Murine Hind Limb Explant Model
08:19

Author Spotlight: Unraveling the Mechanobiology of Tendon Impingement – A Multiaxial Murine Hind Limb Explant Model

Published on: December 8, 2023

1.1K

Related Experiment Videos

Last Updated: Jun 30, 2026

Biomechanical Testing of Murine Tendons
10:09

Biomechanical Testing of Murine Tendons

Published on: October 15, 2019

13.6K
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

2.2K
Author Spotlight: Unraveling the Mechanobiology of Tendon Impingement – A Multiaxial Murine Hind Limb Explant Model
08:19

Author Spotlight: Unraveling the Mechanobiology of Tendon Impingement – A Multiaxial Murine Hind Limb Explant Model

Published on: December 8, 2023

1.1K

Area of Science:

  • Biomedical Engineering
  • Radiology
  • Orthopedics

Background:

  • Quantitative magnetic resonance imaging (qMRI) offers insights into musculoskeletal tissue composition and function.
  • Historically, low signal-to-noise ratio limited qMRI applications in tendons.
  • Advancements in scanning techniques have improved tendon signal, enabling structural and functional evaluation.

Purpose of the Study:

  • To investigate the relationships between various tendon qMRI metrics (T1, T2, T1ρ, and diffusion tensor imaging [DTI]) and tendon tissue mechanics.
  • To correlate qMRI findings with collagen concentration and organization in human Achilles tendons.

Main Methods:

  • Sixteen human Achilles tendon specimens were analyzed.
  • Specimens underwent qMRI scanning.
  • Mechanical testing and quantitative polarized light imaging were performed on the specimens.

Main Results:

  • T2 values showed significant correlations with multiple mechanical properties, including peak stress, equilibrium stress, percent relaxation, hysteresis, and linear modulus.
  • T1ρ demonstrated a significant relationship with percent relaxation.
  • DTI metrics, specifically mean diffusivity, axial diffusivity, and radial diffusivity, were strongly correlated with collagen content.

Conclusions:

  • T2 values from Achilles tendon midportions are strong predictors of tendon tensile mechanical properties.
  • DTI diffusivity indices provide a strong correlation with collagen content.
  • qMRI is a feasible method for characterizing tendon tissue, offering noninvasive measurement of structure and function.