A QCT-Based Nonsegmentation Finite Element Head Model for Studying Traumatic Brain Injury

Area of Science:

• Biomechanics
• Computational Neuroscience
• Medical Imaging Analysis

Background:

• Current finite element head models (FEHMs) rely on segmented head tissues, treating them as homogeneous materials.
• This segmentation approach has limitations in accurately representing the complex, heterogeneous nature of head tissues.
• Existing models may not fully capture the intricate material properties within the head.

Purpose of the Study:

• To develop and validate a non-segmented finite element head model (FEHM) with pointwise-heterogeneous material properties.
• To compare the predictive accuracy of the new heterogeneous model against traditional piecewise-homogeneous models.
• To investigate the impact of material property representation on stress and strain predictions in the head.

Main Methods:

• Development of a novel non-segmented finite element head model (FEHM) incorporating pointwise-heterogeneous material properties.
• Construction of the FEHM using medical imaging data.
• Validation of the model's predictions against experimental data.

Main Results:

• Intracranial pressures predicted by the heterogeneous FEHM were similar to those from existing homogeneous models.
• However, predicted strain and stress levels in head tissues were significantly higher with the heterogeneous FEHM.
• The proposed model indicated that traditional models may underestimate critical stress and strain levels.

Conclusions:

• Non-segmented finite element head models with pointwise-heterogeneous material properties provide a more accurate representation of head biomechanics.
• Existing piecewise-homogeneous FEHMs may underestimate stress and strain, potentially leading to inaccuracies in traumatic brain injury prediction.
• The developed heterogeneous FEHM offers improved insights into head injury mechanisms.