Mechanical Properties of Maxillofacial Tissues for Virtual Surgical Simulation
Overview
This study measured biomechanical properties of maxillofacial soft and hard tissues from cadaveric samples to inform virtual surgical simulation models. Insertion and cutting forces of soft tissues and elasticity modulus of hard tissues were quantified to enhance real-time deformation and haptic feedback in virtual surgery systems.
Background
Surgical training requires extensive practice to develop tactile force perception critical for operative competence. Virtual surgical systems with haptic feedback offer immersive environments to improve skills and reduce errors. Accurate biomechanical parameters of maxillofacial tissues are essential to construct realistic deformation models for these systems, yet data on many facial bones and soft tissues remain limited.
Data Highlights
Soft tissues were divided into epidermis/dermis/subcutaneous and muscle layers, with mucosa also measured. Hard tissues included zygoma, maxilla, mandible, and dental enamel. Insertion speeds ranged from 0.5 to 2 mm/s; cutting speeds from 0.5 to 1.5 mm/s. Muscle cutting force was measured parallel and perpendicular to fibers. Measurements were repeated five times per condition using a 5-axis linkage system and piezoelectric dynamometer. 3D printed splints were used to immobilize soft tissues during cutting.
Key Findings
Mechanical properties of soft tissues vary by layer and maxillofacial region, with distinct insertion and cutting force profiles.
Muscle cutting force depends on fiber orientation, showing anisotropic behavior.
Hard tissues including zygoma, maxilla, mandible, and enamel exhibit measurable elasticity modulus and hardness values critical for modeling.
Use of 3D printed splints effectively stabilizes soft tissues during force measurements, improving data accuracy.
Insertion and cutting forces increase with speed, reflecting realistic surgical conditions.
Gender and anatomical site influence mechanical characteristics of soft tissues.
Clinical Implications
Incorporating these biomechanical parameters into virtual surgical simulators can improve the fidelity of tissue deformation and haptic feedback, enhancing surgical training efficacy. Understanding anisotropic and region-specific tissue properties allows for more accurate modeling, potentially reducing training time and surgical errors.
Conclusion
This initial investigation provides essential biomechanical data on maxillofacial soft and hard tissues, supporting the development of realistic virtual surgical systems with improved tactile feedback and deformation modeling.
