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Related Concept Videos

Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

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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...
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Elastic fiber contains the protein elastin along with lesser amounts of other proteins and glycoproteins. The main property of elastin is that it will return to its original shape after being stretched or compressed. Elastic fibers are prominent in elastic tissues found in skin and the elastic ligaments of the vertebral column.
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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...
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Strain energy quantifies the energy stored within a material due to deformation under loading conditions, a fundamental concept in materials science and engineering. The strain energy can be modeled when a material is subjected to axial loading with uniformly distributed stress. In this scenario, the stress experienced by the material is the internal force divided by the cross-sectional area, and the strain induced is directly proportional to this stress through the modulus of elasticity.
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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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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...
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Quantitative micro-elastography: imaging of tissue elasticity using compression optical coherence elastography.

Kelsey M Kennedy1, Lixin Chin1, Robert A McLaughlin1

  • 1Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic &Computer Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia.

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Summary
This summary is machine-generated.

Quantitative micro-elastography combines optical coherence elastography with a stress sensor to measure tissue elasticity. This technique accurately maps tissue elasticity, improving disease detection and guiding medical procedures.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Biophysics

Background:

  • Assessing microscale tissue mechanical properties aids in identifying diseases missed by current methods.
  • Compression optical coherence elastography (OCE) visualizes tissue strain but lacks quantitative stress measurement.
  • Quantitative elasticity mapping is crucial for accurate tissue characterization and clinical applications.

Purpose of the Study:

  • To introduce quantitative micro-elastography, a novel technique for measuring tissue elasticity.
  • To integrate a compliant stress sensor with OCE for precise stress and strain analysis.
  • To enhance the diagnostic capabilities of OCE for distinguishing between tissue types.

Main Methods:

  • Developed a quantitative micro-elastography system combining OCE with a silicone stress sensor.
  • The sensor measures strain to calculate the 2D stress distribution on the tissue surface.
  • Calculated tissue elasticity by dividing measured stress by localized strain.

Main Results:

  • Quantitative micro-elastography successfully maps tissue elasticity with microscale resolution.
  • The technique demonstrated improved ability to differentiate between various tissue types compared to strain-only OCE.
  • Validated using tissue-mimicking phantoms and applied to excised human breast tissues.

Conclusions:

  • Quantitative micro-elastography provides a reliable method for measuring tissue elasticity.
  • This technique enhances OCE's diagnostic potential for diseases like breast cancer.
  • Enables more accurate inter-sample comparisons and longitudinal studies of tissue mechanical properties.