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Updated: Jun 17, 2026

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing
07:07

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing

Published on: December 13, 2016

Mechanical gluteal soft tissue material parameter validation under complex tissue loading.

C Then1, J Menger, T J Vogl

  • 1Center of Biomedical Engineering (CBME), Frankfurt/M, Germany.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|January 7, 2010
PubMed
Summary
This summary is machine-generated.

Finite element (FE) simulations accurately predict soft tissue deformation using validated material parameters. This enhances understanding of pressure sore development and prevention strategies by verifying simulation reliability in complex loading scenarios.

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Area of Science:

  • Biomechanics
  • Medical Simulation
  • Tissue Engineering

Background:

  • Finite element (FE) simulations are crucial for understanding internal tissue stress and strain during mechanical loading.
  • Accurate mechanical descriptions of soft tissues and support materials are essential for reliable FE simulations.
  • Verification of material parameters used in FE models is necessary for accurate predictions.

Purpose of the Study:

  • To verify the suitability of gluteal soft tissue material parameters derived from experimental data for simulating complex buttock deformations.
  • To validate FE models by comparing simulation results with experimental data obtained through magnetic resonance imaging (MRI).

Main Methods:

  • Utilized previously derived gluteal soft tissue material parameters in FE simulations of buttock deformation.
  • Performed experimental tissue loading using a soft foam material and acquired displacement data via MRI.
  • Reconstructed anatomical surface data, generated an FE model, and simulated the experimental scenario.
  • Compared MR-image data with FE simulation results.

Main Results:

  • FE simulations showed good agreement with MRI data for the deformation of gluteal skin/fat, muscle tissue, and support material.
  • Visual correlation was observed between experimental and numerical outputs for deformed skin and internal tissue boundaries.
  • A high correlation factor (R²=0.998) was achieved for skin/fat deformation, confirming simulation accuracy.

Conclusions:

  • The study demonstrates the reliability of the employed tissue material parameters for realistic FE simulations.
  • Validated parameters enable accurate modeling of complex loading scenarios involving finite strains, diverse anatomy, and material interactions.
  • This research supports the use of FE simulations for pressure sore prophylaxis and understanding tissue mechanics.