Automated Digital Dental Articulation

摘要：

Articulating digital dental models is often inaccurate and very timeconsuming. 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.

关键词： digital dental models automated digital dental articulation collision avoidance

作者: James J.Xia Yu-Bing Chang Jaime Gateno Zixiang Xiong Xiaobo Zhou

作者单位: The Methodist Hospital Research Institute, Houston, Texas, USA The Methodist Hospital Research Institute, Houston, Texas, USA Texas A&M University, College Station Texas A&M University, College Station, Texas, USA

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 278–286

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）