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An automatic tooth reconstruction method based on multimodal data
Journal of Visualization ( IF 1.7 ) Pub Date : 2020-09-21 , DOI: 10.1007/s12650-020-00697-0
Jiahong Qian , Shijuan Lu , Yuan Gao , Yubo Tao , Jun Lin , Hai Lin

A complete digital tooth model with both the dental crown and root is of great importance for computer-aided orthodontic treatment. This paper first proposes an automatic segmentation method for complete tooth models with both the crown and reconstructed root based on multimodal data. With the laser-scanned crown mesh and cone-beam computed tomography (CBCT) data of a patient, we propose an improved iterative closest point algorithm and convex hull selection method to obtain the initial contour and slice for segmentation. Based on the initialization, we propose an improved level set method with the shape prior, named LSS, to segment the root of the tooth slice by slice. After segmentation, we reconstruct the root model and replace the crown part with the scanned crown model to solve the occlusal problem. The experiments demonstrate that our method can obtain tooth models from CBCT automatically and accurately.

中文翻译:

一种基于多模态数据的自动牙齿重建方法

具有牙冠和牙根的完整数字牙齿模型对于计算机辅助正畸治疗非常重要。本文首先提出了一种基于多模态数据的具有牙冠和重建牙根的完整牙齿模型的自动分割方法。利用患者的激光扫描冠状网格和锥形束计算机断层扫描 (CBCT) 数据,我们提出了一种改进的迭代最近点算法和凸包选择方法,以获得用于分割的初始轮廓和切片。在初始化的基础上,我们提出了一种改进的具有形状先验的水平集方法,称为LSS,逐片分割牙根。分割后,我们重建牙根模型并用扫描的牙冠模型替换牙冠部分以解决咬合问题。
更新日期:2020-09-21
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