Automated digital dental articulation

James J. Xia, Yu Bing Chang, Jaime Gateno, Zixiang Xiong, Xiaobo Zhou

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

15 Citations (Scopus)


Articulating digital dental models is often inaccurate and very time-consuming. This paper presents an automated approach to efficiently articulate digital dental models to maximum intercuspation (MI). There are two steps in our method. The first step is to position the models to an initial position based on dental curves and a point matching algorithm. The second step is to finally position the models to the MI position based on our novel approach of using iterative surface-based minimum distance mapping with collision constraints. Finally, our method was validated using 12 sets of digital dental models. The results showed that using our method the digital dental models can be accurately and effectively articulated to MI position.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2010
Subtitle of host publication13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III
Number of pages9
ISBN (Print)3642157106, 9783642157103
Publication statusPublished - 2010
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention 2010 - China National Convention Center (CNCC), Beijing, China
Duration: 20 Sept 201024 Sept 2010
Conference number: 13th (Proceedings)

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceMedical Image Computing and Computer-Assisted Intervention 2010
Abbreviated titleMICCAI 2010
Internet address


  • Automated
  • Collision avoidance
  • Digital dental articulation
  • Digital dental models

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