Towards Linking Histological Changes to Liver Viscoelasticity: A Hybrid Analytical-Computational Micromechanics...

Area of Science:

• * Biomedical Engineering
• * Computational Mechanics
• * Liver Disease Research

Background:

• * Elastography uses tissue mechanical properties as biomarkers for liver disease.
• * Quantitatively linking histopathology and bulk mechanical properties is a key objective.
• * Understanding these links can improve diagnostic accuracy.

Purpose of the Study:

• * To develop a micromechanical modeling approach for liver tissue.
• * To capture the effects of fat and collagen deposition on mechanical properties.
• * To bridge the gap between histopathology and bulk mechanical measurements.

Main Methods:

• * Computational homogenization used to model liver lobule microstructure.
• * Ad hoc algorithms informed by histological observations simulate lipid and collagen deposition.
• * Composite material theory converts fat content to microscopic mechanical properties.

Main Results:

• * The model successfully captures the impact of fat deposition on viscoelastic moduli.
• * The model demonstrates the effect of collagen deposition on viscoelastic moduli.
• * Results show a correlation between microstructural changes and bulk mechanical properties.

Conclusions:

• * The developed model links histopathological changes to liver tissue's bulk mechanical properties.
• * This work is a step towards improving elastography-based liver disease diagnosis.
• * Micromechanical modeling offers insights into liver disease mechanisms.