A novel approach for determining instantaneous centers of rotation of the mandible with an intraoral scanner: A preliminary study

PLoS One. 2023 May 3;18(5):e0285162. doi: 10.1371/journal.pone.0285162. eCollection 2023.

Abstract

Objectives: Recording and reproducing mandibular movements have been of key importance in the practice of dentistry for over a century. Recently, it has become possible to use digital technologies for these tasks. This study presents a preliminary method to try to identify the mandibular instantaneous centres of rotation based solely on intraoral scanners.

Methods: The dentitions of four participants were scanned, multiple inter-occlusal registrations and buccal scans were performed in closed and opened positions. Blender software was used to align the meshes during the post-scan digital workflow. Bite alignment accuracy was assessed and then improved with a strict exclusion protocol. An automated algorithm was used to find rotations between closed stage and open stage meshes.

Results: Our exclusion protocol reduced the bite alignment error significantly (p = 0.001) and the root-mean-square error value of the meshes decreased from 0.09 mm (SD = 0.15) to 0.03 mm (SD = 0.017). However, the remaining translational error caused an unexpectedly large shift in the axis of rotation (mean = 1.35 mm, SD = 0.77) with a 41.83: 1 ratio. As found in other studies, our results showed even a small amount of error during registration can shift the axis of rotation a large amount. This phenomenon will compromise the results of common pantographic methods which assume a rotation axis of the condyle. It also adds valuable information to the concept of instantaneous centers of rotation by revealing their true characteristics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computer-Aided Design
  • Humans
  • Imaging, Three-Dimensional
  • Mandible* / diagnostic imaging
  • Models, Dental*
  • Movement
  • Software

Grants and funding

This work was supported by the University of Szeged Open Access Fund (grant number: 5780). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.