J Korean Assoc Oral Maxillofac Surg.
2008 Oct;34(5):555-561.
Image fusion accuracy for the integration of digital dental model and 3D CT images by the point-based surface best fit algorithm
- Affiliations
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- 1Medical battalion, The 6th infantry division, ROK Army
- 2Department of Oral & Maxillofacial Surgery, College of Dentistry, Yonsei University, Korea. sanghwy@yuhs.ac
- 3Oral Science Research Center, College of Dentistry, Yonsei University, Korea.
- 4Department of General Dentistry, College of Dentistry, Yonsei University, Korea.
Abstract
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PURPOSE: The goal of this study was to develop a technique for creating a computerized composite maxillofacial-dental model, based on point-based surface best fit algorithm and to test its accuracy. The computerized composite maxillofacial-dental model was made by the three dimensional combination of a 3-dimensional (3D) computed tomography (CT) bone model with digital dental model.
MATERIALS AND METHODS
This integration procedure mainly consists of following steps : 1) a reconstruction of a virtual skull and digital dental model from CT and laser scanned dental model ; 2) an incorporation of dental model into virtual maxillofacial-dental model by point-based surface best fit algorithm; 3) an assessment of the accuracy of incorporation. To test this system, CTs and dental models from 3 volunteers with cranio-maxillofacial deformities were obtained. And the registration accuracy was determined by the root mean squared distance between the corresponding reference points in a set of 2 images.
RESULTS
AND CONCLUSIONS: Fusion error for the maxillofacial 3D CT model with the digital dental model ranged between 0.1 and 0.3 mm with mean of 0.2 mm. The range of errors were similar to those reported elsewhere with the fiducial markers. So this study confirmed the feasibility and accuracy of combining digital dental model and 3D CT maxillofacial model. And this technique seemed to be easier for us that its clinical applicability can good in the field of digital cranio-maxillofacial surgery.