Point-based surface best fit 알고리즘을 이용한 디지털 치아 모형과 3차원 CT 영상의 중첩 정확도
1Medical battalion, The 6th infantry division, ROK Army, 2Department of Oral & Maxillofacial Surgery, 3Oral Science Research Center, and 4General Dentistry, College of Dentistry, Yonsei University Purpose: The goal of this study was to develop a technique for creating a computerized composite ma...
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Veröffentlicht in: | Journal of the Korean Association of Oral and Maxillofacial Surgeons 2008, 34(5), , pp.555-561 |
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Zusammenfassung: | 1Medical battalion, The 6th infantry division, ROK Army,
2Department of Oral & Maxillofacial Surgery, 3Oral Science Research Center, and
4General Dentistry, College of Dentistry, Yonsei University
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. KCI Citation Count: 1 |
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ISSN: | 2234-7550 2234-5930 |