口腔颌面外科杂志2025，Vol.35Issue(6)：430-437,8.DOI:10.12439/kqhm.1005-4979.2025.06.002
基于深度学习算法的上颌中切牙三维重建研究
Three-dimensional reconstruction of maxillary central incisors using deep learning algorithms
摘要
Abstract
Objective:To develop a deep learning(DL)-based three-dimensional(3D)point cloud reconstruction network that utilizes the morphological features of the ipsilateral maxillary lateral incisor,canine,and premolars to predict and reconstruct the anatomical morphology of the maxillary central incisor,providing insights for personalized anterior tooth aesthetic restoration.Methods:A total of 192 intraoral scan models were collected.Exocad software was used to segment crowns of teeth#11-14.After standardizing coordinate systems in MATLAB,182 cases were randomly selected as the training set and 10 were the test set.A dual-network architecture(morphology and pose estimation)was trained to reconstruct maxillary central incisor point clouds.Reconstructed outputs were meshed,aligned with original crowns for evaluation,and applied to incisal third defect models of tooth#11 to compare restoration outcomes among the proposed algorithm,mirroring technique,and standard database method.Results:The test set achieved a chamfer distance(CD)of 0.405,earth mover's distance(EMD)of 0.152,and a root mean square error(RMSE)of(0.128±0.030)mm.For incisal defect restoration,the proposed algorithm[RMSE:(0.128±0.030)mm]demonstrated comparable accuracy to mirroring technique[RMSE:(0.130±0.021)mm],but significantly outperformed the database method[RMSE:(0.233±0.038)mm,P<0.001].Conclusion:The proposed 3D point cloud reconstruction network enables high-precision maxillary central incisor restoration based on adjacent tooth morphology,offering a reliable technical solution for personalized anterior dental rehabilitation.关键词
深度学习/牙冠设计/上颌中切牙Key words
deep learning/dental crown design/maxillary central incisor分类
医药卫生引用本文复制引用
王悦,潘广进,厉杭芸,汤婉怡,吴珺华..基于深度学习算法的上颌中切牙三维重建研究[J].口腔颌面外科杂志,2025,35(6):430-437,8.基金项目
上海市科委西医引导类科技支撑项目(19411962200) （19411962200）
