Soft-Tissue Simulation for Computational Planning of Orthognathic Surgery

Area of Science:

• Biomedical Engineering
• Medical Simulation
• Computational Surgery

Background:

• Current orthognathic surgery simulation methods are time-consuming.
• Existing models require complex setup and long computation times.

Purpose of the Study:

• To develop a holistic modeling and simulation methodology for orthognathic surgery.
• To simplify model setup and reduce runtime computations.

Main Methods:

• A novel methodology coupling rigid-bone and soft-tissue facial components was developed.
• The approach focuses on creating computationally efficient yet accurate models.

Main Results:

• The simulation methodology was validated on 10 orthognathic surgery patients.
• Planning computation times were under 10 seconds with clinically viable accuracy.

Conclusions:

• The proposed method allows for coarse simulation meshes.
• This approach offers a faster and accurate alternative for orthognathic surgery planning.