Automated Digital Dental Articulation
Identifieur interne : 003163 ( Ncbi/Checkpoint ); précédent : 003162; suivant : 003164Automated Digital Dental Articulation
Auteurs : James J. Xia [États-Unis] ; Yu-Bing Chang [États-Unis] ; Jaime Gateno [États-Unis] ; Zixiang Xiong ; Xiaobo Zhou [États-Unis]Source :
- Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention ; 2010.
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.
Url:
PubMed: 20879410
PubMed Central: 5663470
Affiliations:
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PMC:5663470Le document en format XML
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<front><div type="abstract" xml:lang="en"><p id="P1">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.</p>
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