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Related Concept Videos

Measurements of Strain01:27

Measurements of Strain

2.5K
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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Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

509
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...
509
Transformation of Plane Strain01:12

Transformation of Plane Strain

426
When analyzing elongated structures like bars subjected to uniformly distributed loads, it is essential to understand the transformation of plane strain when coordinate axes are rotated. This transformation helps to assess how material deformation characteristics vary with orientation, which is crucial in materials science and structural engineering.
Under plane strain conditions, typical for members where one dimension significantly exceeds the others, deformations and resultant strains are...
426
True Stress and True Strain01:28

True Stress and True Strain

705
Engineering stress is calculated as the load divided by the original, undeformed cross-sectional area. It approximates a material under load. This approximation is especially relevant post-yield in ductile materials. Though engineering stress-strain diagrams are often used for their convenience and accessibility, they can sometimes fall short in accuracy, particularly when dealing with large strain values.
In contrast, true stress offers a more precise portrayal. It is computed by dividing the...
705

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Related Experiment Video

Updated: Dec 20, 2025

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves
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Published on: January 12, 2024

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Feature-tracking-based strain analysis - a comparison of tracking algorithms.

Daniel Thomas1, Julian Luetkens1, Anton Faron1

  • 1University of Bonn, Germany.

Polish Journal of Radiology
|May 30, 2020
PubMed
Summary
This summary is machine-generated.

The algorithm used in feature-tracking strain assessment significantly impacts results. Non-rigid, elastic image registration offers more precise and reproducible strain measurements compared to blood myocardium tracing.

Keywords:
blood-myocardial border tracingmyocardial strainnon-rigid elastic image registrationoptical flow feature tracking

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomechanical Engineering

Background:

  • Optical flow feature-tracking (FT) is widely used for strain assessment in clinical and research settings.
  • Various software packages utilize different algorithms for FT-derived strain computation.
  • Understanding the influence of these algorithms is crucial for accurate strain analysis.

Purpose of the Study:

  • To evaluate the impact of different algorithms on the validity and robustness of feature-tracking derived strain results.
  • To compare strain assessment using tagging and various feature-tracking algorithms.

Main Methods:

  • Cardiac magnetic resonance imaging (CSPAMM and SSFP cine sequences) was performed on 30 subjects (15 patients with aortic stenosis, 15 controls).
  • Global peak systolic circumferential strain (PSCS) was computed using tagging and feature-tracking software with non-rigid, elastic image registration, and blood myocardial border tracing algorithms.
  • Intermodality agreement and observer variability were assessed.

Main Results:

  • Statistically significant differences in global PSCS were found between tagging and the blood myocardial border tracing algorithm.
  • The highest correlation was observed between tagging and the non-rigid, elastic image registration algorithm (r=0.84).
  • Lower correlations were found between tagging and blood myocardial border tracing (r=0.36), and between the two feature-tracking software packages (r=0.5).

Conclusions:

  • The choice of algorithm in feature-tracking strain assessment critically influences the obtained results.
  • The non-rigid, elastic image registration algorithm demonstrates superior precision and reproducibility compared to the blood myocardium tracing algorithm.
  • Algorithm selection is vital for reliable cardiovascular strain analysis.