Automated three-piece digital dental articulation

Jianfu Li, Flavio Ferraz, Shunyao Shen, Yi Fang Lo, Xiaoyan Zhang, Peng Yuan, Zhen Tang, Ken Chung Chen, Jaime Gateno, Xiaobo Zhou, James J. Xia

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

In craniomaxillofacial (CMF) surgery, a critical step is to reestablish dental occlusion. Digitally establishing new dental occlusion is extremely difficult. It is especially true when the maxilla is segmentalized into 3 pieces, a common procedure in CMF surgery. In this paper, we present a novel midlineguided occlusal optimization (MGO) approach to automatically and efficiently reestablish dental occlusion for 3-piece maxillary surgery. Our MGO approach consists of 2 main steps. The anterior segment of the maxilla is first aligned to the intact mandible using our ergodic midline-match algorithm. The right and left posterior segments are then aligned to the mandible in sequence using an improved iterative surface-based minimum distance mapping algorithm. Our method has been validated using 15 sets of digital dental models. The results showed our algorithm-generated 3-piece articulation is more efficient and effective than the current standard of care method. The results demonstrated our approach’s significant clinical impact and technical contributions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages488-496
Number of pages9
DOIs
Publication statusPublished - 2015 Jan 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9349
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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