Accurate registration of cone-beam computed tomography scans to 3-dimensional facial photographs
- Authors
- Nahm, Kyung-Yen; Kim, Yong; Choi, Yong-Suk; Lee, Jeongjin; Kim, Seong-Hun; Nelson, Gerald
- Issue Date
- Feb-2014
- Publisher
- MOSBY-ELSEVIER
- Citation
- AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, v.145, no.2, pp.256 - 264
- Journal Title
- AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS
- Volume
- 145
- Number
- 2
- Start Page
- 256
- End Page
- 264
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/10123
- DOI
- 10.1016/j.ajodo.2013.10.018
- ISSN
- 0889-5406
- Abstract
- Introduction: Registering a 3-dimensional (3D) facial surface scan to a cone-beam computed tomography (CBCT) scan has various advantages. One major advantage is to compensate for the inaccuracy of the CBCT surface data. However, when registering CBCT and 3D facial scans, changes in facial expression, spatial soft-tissue changes, and differences in the patient's positioning can decrease the accuracy of the registration. In this study, we introduce a new 3D facial scanner that is combined with a CBCT apparatus. Our goal was to evaluate the registration accuracy of CBCT and 3D facial scans, which were taken with the shortest possible time between them. Methods: The experiment was performed with 4 subjects. Each patient was instructed to hold as still as possible while the CBCT scan was taken, followed immediately by the 3D facial surface scan. The images were automatically registered with software. The accuracy was measured by determining the degree of agreement between the soft-tissue surfaces of the CBCT and the 3D facial images. Results: The average surface discrepancy between the CBCT facial surface and 3D facial surface was 0.60 mm (SD, 0.12 mm). Registration accuracy was also visually verified by toggling between the images of the CBCT and 3D facial surface scans while rotating the registered images. Conclusions: Registration of consecutively taken CBCT and 3D facial images resulted in reliable accuracy.
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Collections - College of Information Technology > School of Computer Science and Engineering > 1. Journal Articles
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