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 language | English |
|---|---|
| Title of host publication | Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010 |
| Subtitle of host publication | 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III |
| Publisher | Springer |
| Pages | 278-286 |
| Number of pages | 9 |
| ISBN (Print) | 3642157106, 9783642157103 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | Medical Image Computing and Computer-Assisted Intervention 2010 - China National Convention Center (CNCC), Beijing, China Duration: 20 Sept 2010 → 24 Sept 2010 Conference number: 13th https://link.springer.com/book/10.1007/978-3-642-15705-9 (Proceedings) |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| Volume | 6363 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | Medical Image Computing and Computer-Assisted Intervention 2010 |
|---|---|
| Abbreviated title | MICCAI 2010 |
| Country/Territory | China |
| City | Beijing |
| Period | 20/09/10 → 24/09/10 |
| Internet address |
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Keywords
- Automated
- Collision avoidance
- Digital dental articulation
- Digital dental models