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

Shearing Strain01:20

Shearing Strain

The shearing strain represents a cubic element's angular change when subjected to shearing stress. This type of stress can transform a cube into an oblique parallelepiped without influencing normal strains. The cubic element experiences a significant transformation when exposed solely to shearing stress. Its shape alters from a perfect cube into a rhomboid, clearly demonstrating the effect of shearing strain. The degree of this strain is considered positive if it reduces the angle between the...
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
Problem Solving on Stress and Strain01:22

Problem Solving on Stress and Strain

Stress is a quantity that describes the magnitude of a force that causes deformation, generally defined as internal force per unit area. When forces pull on an object and cause its elongation, like the stretching of an elastic band, it is called tensile stress. When forces cause the compression of an object, it is known as compressive stress. When an object is being squeezed uniformly from all sides, like a submarine in the depths of the ocean, we call this kind of stress bulk stress (or volume...
Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
Strain and Elastic Modulus01:15

Strain and Elastic Modulus

The quantity that describes the deformation of a body under stress is known as strain. Strain is given as a fractional change in either length, volume, or geometry under tensile, volume (also known as bulk), or shear stress, respectively, and is a dimensionless quantity. The strain experienced by a body under tensile or compressive stress is called tensile or compressive strain, respectively. In contrast, the strain experienced under bulk stress and shear stress is known as volume and shear...
Measurements of Strain01:27

Measurements of Strain

Strain quantifies the deformation of a material under force, typically measured as normal strain, which represents the change in length when compared with the original length. Electrical strain gauges are used for enhanced accuracy. These devices consist of a conductive wire mounted on a paper backing that adheres to the material's surface. These gauges operate on the piezoresistive effect, where the wire's electrical resistance changes in response to mechanical deformation. The strain gauge...

You might also read

Related Articles

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

Sort by
Same author

Study about deep Bifurcation learning model for separation of ultrasound echo signals and tissue acoustic properties.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

TRAM-UNet: Transformer and Region Attention Module based U-Net for Breast Ultrasound Image Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Segmentation with Speckle Reduction and Superresolution by Deep Leaning for Human Ultrasonic Echo Image.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2021
Same author

Shear modulus reconstruction by ultrasonically measured strain ratio.

Journal of medical ultrasonics (2001)·2016
Same author

Spatially variant regularization for tissue strain measurement and shear modulus reconstruction.

Journal of medical ultrasonics (2001)·2016
Same author

Determining if the relative shear modulus or the inverse of the relative shear modulus should be imaged using axial strain ratios on agar phantoms.

Ultrasound in medicine & biology·2010

Related Experiment Video

Updated: Jul 6, 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

Regularization of tissue shear modulus reconstruction using strain variance.

Chikayoshi Sumi1

  • 1Department of Electrical and Electronics Engineering, Faculty of Science and Technology, Sophia University, Tokyo, Japan. c-sumi@sophia.ac.jp

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|March 13, 2008
PubMed
Summary

This study introduces a novel method for shear modulus reconstruction using strain variances. This technique effectively stabilizes 1-D reconstruction for medical applications, ensuring uniform stability.

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

Studying Large Amplitude Oscillatory Shear Response of Soft Materials
06:07

Studying Large Amplitude Oscillatory Shear Response of Soft Materials

Published on: April 25, 2019

Related Experiment Videos

Last Updated: Jul 6, 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

Studying Large Amplitude Oscillatory Shear Response of Soft Materials
06:07

Studying Large Amplitude Oscillatory Shear Response of Soft Materials

Published on: April 25, 2019

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Medical Imaging

Background:

  • Shear modulus reconstruction is crucial for diagnosing tissue properties.
  • Accurate regularization parameters are essential for stable reconstruction.
  • Existing methods may lack spatial adaptability in regularization.

Purpose of the Study:

  • To develop an effective method for setting spatially varied regularization parameters for shear modulus reconstruction.
  • To utilize strain variances for improved reconstruction stability.
  • To validate the method in both phantom and in vivo experiments.

Main Methods:

  • Described a setting method using variances of strain tensor component measurements.
  • Employed the Ziv-Zakai Lower Bound (ZZLB) for experimental evaluation of strain variances.
  • Utilized a single field measurement with the cross-spectrum phase gradient method (MCSPGM).
  • Estimated axial strain variance using combined signal-to-noise ratio and correlations (SNRc).

Main Results:

  • Demonstrated effective regularization using single field measurements.
  • Confirmed stabilization of 1-D reconstruction on an agar phantom.
  • Showcased successful in vivo application on a human liver carcinoma during microwave thermal treatment.
  • Achieved spatially uniform stability in reconstruction.

Conclusions:

  • The proposed method effectively sets spatially varied regularization parameters.
  • Strain variance estimation using SNRc stabilizes shear modulus reconstruction.
  • The technique offers a robust solution for medical imaging applications requiring precise tissue property assessment.