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Relative trajectory-driven virtual dynamic occlusal adjustment for dental restorations

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Abstract

The abnormal occlusal contact can disrupt the coordination and health of the oral jaw system. Therefore, the dynamic adjustment of the occlusal surface is of great significance for assessing the status of occlusal contact and clarifying jaw factors of stomatognathic system diseases. To solve this problem, a trajectory subtraction algorithm based on screw theory to improve the accuracy of the occlusal movement trajectory is proposed in our paper. Driving by the relative trajectory, a virtual dynamic occlusal adjustment system is developed to realize 3D occlusal movement simulating, automatic occluding relation detection, and automatic occlusal adjustment. Furthermore, we adapt an active occlusal adjustment method based on Laplacian deformation to increase the contact areas of the occlusal surface, which can aid dentists to realize the automatic adjustment of the non-interference regions. As a consequence, the proposed subtraction algorithm is feasible and the root-mean-square is 0.097 mm, and the adjusted occlusal surface is more consistent with the natural occlusal morphology.

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Acknowledgments

We also thanks very much for editors with your attention to our paper.

Funding

This study was financially supported by the National Natural Science Foundation of China (Nos. 81271181, 51775273) and the Natural Science Foundation of Jiangsu Province of China (No. BK20161487), Six talent peaks project in Jiangsu Province, China (No. GDZB-034), Jiangsu Province Science and Technology Support Plan Project, China (No. BE2016010-4), and Jiangsu Province Achievements Transformation Project (No. BA2016106).

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Author notes

  1. Sukun Tian and Ning Dai contributed equally to this work.

Authors and Affiliations

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

    Sukun Tian, Ning Dai, Xiaosheng Cheng & Haihua Cui

  2. Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Engineering Laboratory for Digital and Material Technology of Stomatology & Research Center of Engineering and Technology for Digital Dentistry of Ministry of Health, Beijing, 100081, People’s Republic of China

    Linlin Li & Yuchun Sun

Authors
  1. Sukun Tian
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  2. Ning Dai
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  3. Xiaosheng Cheng
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  4. Linlin Li
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Contributions

SK Tian has contributed significantly in research design, drafting of the manuscript and analysis of data. N Dai has contributed significantly in research design and revision of the manuscript. XS Cheng has contributed significantly in acquisition of data and revision of the manuscript. LL Li has contributed significantly in analysis of data, theoretical guidance and condition support. YC Sun has contributed significantly in research design, theoretical guidance and condition support. HH Cui has contributed significantly in analysis and acquisition of data. All authors have read and approved the final submitted manuscript.

Corresponding authors

Correspondence to Ning Dai or Yuchun Sun.

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Tian, S., Dai, N., Cheng, X. et al. Relative trajectory-driven virtual dynamic occlusal adjustment for dental restorations. Med Biol Eng Comput 57, 59–70 (2019). https://doi.org/10.1007/s11517-018-1867-3

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  • DOI: https://doi.org/10.1007/s11517-018-1867-3

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