Viscoelastic computational modeling of the human head-neck system: Eigenfrequencies and time-dependent analysis

Area of Science:

• Biomechanics
• Computational modeling
• Medical imaging

Background:

• Accurate modeling of the human head-neck system is crucial for understanding biomechanical responses.
• Previous models often lack patient-specific details and comprehensive viscoelastic properties.

Purpose of the Study:

• To develop and validate a subject-specific 3D viscoelastic finite element model of the human head-neck system.
• To investigate sound wave transmission and attenuation within the skull and brain tissues.
• To provide a generalized, patient-specific approach for biomechanical analysis.

Main Methods:

• Utilized computed tomography (CT) and magnetic resonance (MR) imaging for model reconstruction.
• Developed image processing tools for geometry and tissue distribution.
• Characterized material viscoelastic properties using an image-based interpolating function.
• Performed modal and time-dependent finite element analyses.

Main Results:

• Successfully reconstructed a heterogeneous viscoelastic continuum model of the head-neck system.
• Validated the model against experimental data and similar studies.
• Conducted spatiotemporal analyses using swept-sine wave stimulations.

Conclusions:

• The developed patient-specific finite element model accurately represents the viscoelastic behavior of the head-neck system.
• The approach enables detailed investigation of sound wave propagation and absorption in the brain and skull.
• The model has potential applications in personalized medicine and biomechanical research.