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Relative trajectory-driven virtual dynamic occlusal adjustment for dental restorations.

Sukun Tian1, Ning Dai2, Xiaosheng Cheng1

  • 1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, People's Republic of China.

Medical & Biological Engineering & Computing
|July 4, 2018
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Summary
This summary is machine-generated.

This study introduces a novel algorithm for precise occlusal adjustment, improving dental restorations. The virtual system enhances occlusal contact accuracy and natural morphology for better oral health.

Keywords:
CAD/CAM restorationsLaplacian deformationOcclusal movementRelative trajectoryVirtual dynamic occlusal adjustment

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Area of Science:

  • Biomedical Engineering
  • Dental Mechanics
  • Computational Dentistry

Background:

  • Abnormal occlusal contacts negatively impact oral jaw system coordination and health.
  • Accurate assessment of occlusal contact and jaw factors is crucial for stomatognathic system diseases.
  • Current methods for occlusal adjustment lack precision and efficiency.

Purpose of the Study:

  • To develop an accurate method for dynamic occlusal adjustment.
  • To create a virtual system for simulating 3D occlusal movements and automatic adjustment.
  • To enhance occlusal surface contact areas and achieve natural occlusal morphology.

Main Methods:

  • A trajectory subtraction algorithm based on screw theory was developed to improve occlusal movement trajectory accuracy.
  • A virtual dynamic occlusal adjustment system was created for 3D simulation, automatic detection, and adjustment.
  • Laplacian deformation was adapted for active occlusal adjustment to increase contact areas.

Main Results:

  • The proposed subtraction algorithm demonstrated feasibility with a root-mean-square error of 0.097 mm.
  • The virtual system successfully simulated 3D occlusal movements and performed automatic occlusal adjustment.
  • The adjusted occlusal surfaces showed increased contact areas and greater consistency with natural occlusal morphology.

Conclusions:

  • The developed trajectory subtraction algorithm and virtual system offer a feasible and accurate solution for dynamic occlusal adjustment.
  • The method aids dentists in achieving automatic adjustment of non-interference regions, improving restoration quality.
  • The approach contributes to better assessment and management of stomatognathic system diseases related to occlusal issues.