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

9 Citations (Scopus)

Abstract

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
PublisherSpringer
Pages278-286
Number of pages9
ISBN (Print)3642157106, 9783642157103
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention 2010 - China National Convention Center (CNCC), Beijing, China
Duration: 20 Sep 201024 Sep 2010
Conference number: 13th
http://www.springer.com/us/book/9783642157042

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume6363
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceMedical Image Computing and Computer-Assisted Intervention 2010
Abbreviated titleMICCAI 2010
CountryChina
CityBeijing
Period20/09/1024/09/10
Internet address

Keywords

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

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