title: Automated digital dental articulation.
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.
authors.affiliation: The Methodist Hospital Research Institute, Houston, Texas, USA. JXia@tmhs.org
authors.forename: James J
authors.initials: JJ
authors.lastname: Xia
authors.forename: Yu-Bing
authors.initials: YB
authors.lastname: Chang
authors.forename: Jaime
authors.initials: J
authors.lastname: Gateno
authors.forename: Zixiang
authors.initials: Z
authors.lastname: Xiong
authors.forename: Xiaobo
authors.initials: X
authors.lastname: Zho
mesh_terms: D000465:Algorithms; D003735:Dental Casting Technique; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D018613:Microscopy, Confocal / Q000379:methods*; D003765:Models, Dental; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity