An automatic and robust algorithm of reestablishment of digital dental occlusion

Yu Bing Chang, James J. Xia, Jaime Gateno, Zixiang Xiong, Xiaobo Zhou, Stephen T.C. Wong

Research output: Contribution to journalArticle

29 Scopus citations

Abstract

In the field of craniomaxillofacial (CMF) surgery, surgical planning can be performed on composite 3-D models that are generated by merging a computerized tomography scan with digital dental models. Digital dental models can be generated by scanning the surfaces of plaster dental models or dental impressions with a high-resolution laser scanner. During the planning process, one of the essential steps is to reestablish the dental occlusion. Unfortunately, this task is time-consuming and often inaccurate. This paper presents a new approach to automatically and efficiently reestablish dental occlusion. It includes two steps. The first step is to initially position the models based on dental curves and a point matching technique. The second step is to reposition the models to the final desired occlusion based on iterative surface-based minimum distance mapping with collision constraints. With linearization of rotation matrix, the alignment is modeled by solving quadratic programming. The simulation was completed on 12 sets of digital dental models. Two sets of dental models were partially edentulous, and another two sets have first premolar extractions for orthodontic treatment. Two validation methods were applied to the articulated models. The results show that using our method, the dental models can be successfully articulated with a small degree of deviations from the occlusion achieved with the gold-standard method.

Original languageEnglish (US)
Article number5482178
Pages (from-to)1652-1663
Number of pages12
JournalIEEE Transactions on Medical Imaging
Volume29
Issue number9
DOIs
StatePublished - Sep 2010

Keywords

  • Centric occlusion
  • craniomaxillofacial (CMF) surgeries
  • dental alignment
  • dental occlusion
  • digital dental articulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Radiological and Ultrasound Technology
  • Software

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