A computational method for determining tissue material properties in ovine fracture calluses using electronic speckle...

Area of Science:

• Biomechanics
• Materials Science
• Computational Biology

Background:

• Accurate material properties are crucial for biological process simulations.
• Existing literature data for tissue parameters exhibit significant variability.
• Determining in-situ tissue properties is essential for reliable numerical modeling.

Purpose of the Study:

• To develop and validate a method for determining tissue material properties directly from biological specimens.
• To reduce the variability in material property data commonly found in existing literature.
• To enable more accurate numerical simulations of biological processes.

Main Methods:

• Combined electronic speckle pattern interferometry (ESPI) with finite element (FE) analysis.
• Employed a two-step parameter analysis procedure: sensitivity analysis and parameter sampling.
• Used ESPI displacement data from ovine fracture callus slices under compressive load for FE model validation.

Main Results:

• Successfully quantified the influence of individual tissues on callus mechanical behavior.
• Determined material properties (Young's moduli, Poisson's ratios) for dominant callus tissues.
• Achieved reduced variability in material properties, e.g., average Young's modulus of 1881 MPa for woven bone and 16 MPa for cartilage.

Conclusions:

• A numerical method was successfully developed to determine material properties directly from fracture callus specimens.
• The method utilizes experimentally derived local mechanical conditions for accurate property determination.
• This approach enhances the reliability of material property assignments in numerical simulations of biological tissues.