Department of Oral and Maxillofacial Surgery, Leipzig University, Liebigstraße 12, 04103, Leipzig, Germany.
Department of Surgical Sciences, Faculty of Dentistry, Kuwait University, Safat, Kuwait.
Oral Maxillofac Surg. 2023 Mar;27(1):33-41. doi: 10.1007/s10006-022-01050-5. Epub 2022 Mar 5.
Three-dimensional facial scans have recently begun to play an increasingly important role in the peri-therapeutic management of oral and maxillofacial and head and neck surgery cases. Face scan images can be generated by optical facial scanners utilizing line-laser, stereophotography, or structured light modalities, as well as from volumetric data: for example, from cone beam computed tomography (CBCT). This study aimed to evaluate whether two low-cost procedures for the creation of three-dimensional face scan images were capable of producing sufficiently accurate data sets for clinical analysis.
Fifty healthy volunteers were included in the study. Two test objects with defined dimensions (Lego bricks) were attached to the forehead and the left cheek of each volunteer. Facial anthropometric values (i.e., the distances between the medial canthi, the lateral canthi, the nasal alae, and the angles of the mouth) were first measured manually. Subsequently, face scans were performed with a smart device and manual photogrammetry and the values obtained were compared with the manually measured data sets.
The anthropometric distances deviated, on average, 2.17 mm from the manual measurements (smart device scanning deviation 3.01 mm, photogrammetry deviation 1.34 mm), with seven out of eight deviations being statistically significant. For the Lego brick, from a total of 32 angles, 19 values demonstrated a significant difference from the original 90° angles. The average deviation was 6.5° (smart device scanning deviation 10.1°, photogrammetry deviation 2.8°).
Manual photogrammetry demonstrated greater accuracy when creating three-dimensional face scan images; however, smart devices are more user-friendly. Dental professionals should monitor camera and smart device technical improvements carefully when choosing and adequate technique for 3D scanning.
三维面部扫描最近开始在口腔颌面和头颈部手术的围治疗管理中发挥越来越重要的作用。光学面部扫描仪可以通过线激光、立体摄影或结构光模式以及体积数据(例如,锥形束 CT)生成面部扫描图像。本研究旨在评估两种创建三维面部扫描图像的低成本方法是否能够生成足够用于临床分析的准确数据集。
研究纳入 50 名健康志愿者。将两个具有规定尺寸的测试对象(乐高积木)分别附在每个志愿者的额头和左脸颊上。首先手动测量面部人体测量值(即内眦、外眦、鼻翼和口角之间的距离)。然后使用智能设备和手动摄影测量法进行面部扫描,并将获得的值与手动测量数据集进行比较。
人体测量距离平均与手动测量值相差 2.17 毫米(智能设备扫描偏差 3.01 毫米,摄影测量偏差 1.34 毫米),其中 7 个偏差具有统计学意义。对于乐高积木,在总共 32 个角度中,有 19 个值与原始 90°角度存在显著差异。平均偏差为 6.5°(智能设备扫描偏差 10.1°,摄影测量偏差 2.8°)。
手动摄影测量在创建三维面部扫描图像时具有更高的准确性;然而,智能设备更便于用户使用。当选择 3D 扫描的适当技术时,牙科专业人员应密切关注相机和智能设备技术的改进。