Sun LiJun, Hwang Hyeon-Shik, Lee Kyung-Min
Department of Orthodontics, School of Dentistry, Chonnam National University, Gwangju, Korea.
Department of Orthodontics, School of Dentistry, Chonnam National University, Gwangju, Korea.
Am J Orthod Dentofacial Orthop. 2018 Mar;153(3):355-361. doi: 10.1016/j.ajodo.2017.06.027.
The purpose of this study was to examine changes in registration accuracy after including occlusal surface and incisal edge areas in addition to the buccal surface when integrating laser-scanned and maxillofacial cone-beam computed tomography (CBCT) dental images.
CBCT scans and maxillary dental casts were obtained from 30 patients. Three methods were used to integrate the images: R1, only the buccal and labial surfaces were used; R2, the incisal edges of the anterior teeth and the buccal and distal marginal ridges of the second molars were used; and R3, labial surfaces, including incisal edges of anterior teeth, and buccal surfaces, including buccal and distal marginal ridges of the second molars, were used. Differences between the 2 images were evaluated by color-mapping methods and average surface distances by measuring the 3-dimensional Euclidean distances between the surface points on the 2 images.
The R1 method showed more discrepancies between the laser-scanned and CBCT images than did the other methods. The R2 method did not show a significant difference in registration accuracy compared with the R3 method.
The results of this study indicate that accuracy when integrating laser-scanned dental images into maxillofacial CBCT images can be increased by including occlusal surface and incisal edge areas as registration areas.
本研究的目的是在整合激光扫描和颌面锥形束计算机断层扫描（CBCT）牙科图像时，除颊面外，纳入咬合面和切缘区域，检查配准精度的变化。
从30名患者获取CBCT扫描图像和上颌牙模。使用三种方法整合图像：R1，仅使用颊面和唇面；R2，使用前牙的切缘以及第二磨牙的颊侧和远中边缘嵴；R3，使用包括前牙切缘的唇面以及包括第二磨牙颊侧和远中边缘嵴的颊面。通过颜色映射方法评估两张图像之间的差异，并通过测量两张图像上表面点之间的三维欧几里得距离来评估平均表面距离。
与其他方法相比，R1方法在激光扫描图像和CBCT图像之间显示出更多差异。与R3方法相比，R2方法在配准精度上未显示出显著差异。
本研究结果表明，通过纳入咬合面和切缘区域作为配准区域，可以提高将激光扫描牙科图像整合到颌面CBCT图像中的精度。
