Comparison of different material models to simulate 3-d breast deformations using finite element analysis

Area of Science:

• Biomedical Engineering
• Computational Mechanics
• Medical Imaging

Background:

• Accurate biomechanical breast modeling is essential for diverse biomedical applications, yet a consensus on reliable mechanical tissue properties is lacking.
• Finite element (FE) analysis is a key tool for simulating 3-D breast deformations, but its accuracy depends heavily on material property inputs.

Purpose of the Study:

• To evaluate the performance of various material properties within FE models for predicting breast deformations.
• To identify superior constitutive models and material parameters for biomechanical breast modeling.
• To validate simulation accuracy against real 3-D breast surface scans.

Main Methods:

• Developed FE simulation models from 3-D MRI breast datasets of 18 female volunteers.
• Applied 12 different material properties from existing literature to the FE models.
• Computed gravity-free and upright breast positions, comparing simulations to 3-D surface scans of standing subjects.

Main Results:

• Hyper-elastic constitutive models demonstrated significantly better performance than linear elastic models.
• Material models proposed by Tanner et al. and Rajagopal et al. showed superior accuracy (p < 0.01) compared to other hyper-elastic models.
• The non-invasive method combines 3-D imaging with automated FE analysis for accurate simulation.

Conclusions:

• The study identifies specific hyper-elastic material models and parameters that enhance the accuracy of biomechanical breast modeling.
• The validated methodology enables the creation of reliable, patient-specific biomechanical breast models.
• These improved models have the potential to advance various healthcare applications through precise prediction of breast deformations.