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Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques
Published on: October 20, 2023
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Real-time simulation of surgery by reduced-order modeling and X-FEM techniques.
S Niroomandi1, I Alfaro, D González
1Aragon Institute of Engineering Research, Universidad de Zaragoza, Zaragoza, Spain.
Summary
This study introduces a novel surgical simulation method combining model order reduction and extended finite element methods (X-FEM) for real-time cornea surgery simulations without remeshing.
Area of Science:
- Computational mechanics
- Surgical simulation
- Biomedical engineering
Background:
- Surgical simulations require efficient computational methods.
- Existing methods often struggle with real-time performance for complex, non-linear tissue behaviors.
- Remeshing is a common bottleneck in simulations involving large deformations or cuts.
Purpose of the Study:
- To develop a novel, computationally efficient approach for surgical simulation.
- To enable real-time simulations of surgical procedures, particularly those involving tissue cutting.
- To overcome limitations of traditional model order reduction techniques in handling localized phenomena.
Main Methods:
- Combined model order reduction (MOR) with the extended finite element method (X-FEM).
- Utilized locally superimposed patches with X-FEM for cutting simulations.
- Developed a technique that avoids remeshing during simulations.
Main Results:
- Achieved models with significantly fewer degrees of freedom.
- Enabled simulations to run under real-time constraints.
- Successfully simulated highly non-linear tissue constitutive equations.
Conclusions:
- The combined MOR and X-FEM approach offers a powerful tool for surgical simulation.
- This technique facilitates real-time performance for complex surgical scenarios like refractive surgery.
- The method effectively handles tissue cutting without the need for remeshing, improving efficiency.
