Reconstruction-Based Digital Dental Occlusion of the Partially Edentulous Dentition

Jian Zhang, James J. Xia, Jianfu Li, Xiaobo Zhou

Research output: Contribution to journalArticle

Abstract

Partially edentulous dentition presents a challenging problem for the surgical planning of digital dental occlusion in the field of craniomaxillofacial surgery because of the incorrect maxillomandibular distance caused by missing teeth. We propose an innovative approach called Dental Reconstruction with Symmetrical Teeth (DRST) to achieve accurate dental occlusion for the partially edentulous cases. In this DRST approach, the rigid transformation between two symmetrical teeth existing on the left and right dental model is estimated through probabilistic point registration by matching the two shapes. With the estimated transformation, the partially edentulous space can be virtually filled with the teeth in its symmetrical position. Dental alignment is performed by digital dental occlusion reestablishment algorithm with the reconstructed complete dental model. Satisfactory reconstruction and occlusion results are demonstrated with the synthetic and real partially edentulous models.

Original languageEnglish (US)
Article number7328252
Pages (from-to)201-210
Number of pages10
JournalIEEE Journal of Biomedical and Health Informatics
Volume21
Issue number1
DOIs
StatePublished - Nov 12 2015

Keywords

  • Dental alignment
  • dental occlusion
  • missing teeth
  • partially edentulous
  • point registration
  • symmetrical teeth

ASJC Scopus subject areas

  • Biotechnology
  • Medicine(all)
  • Computer Science Applications
  • Health Information Management
  • Electrical and Electronic Engineering

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