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Personalized design technique for the dental occlusal surface based on conditional generative adversarial networks.
International Journal for Numerical Methods in Biomedical Engineering ( IF 2.2 ) Pub Date : 2020-02-24 , DOI: 10.1002/cnm.3321 Fulai Yuan 1 , Ning Dai 1 , Sukun Tian 1 , Bei Zhang 1 , Yuchun Sun 2 , Qing Yu 3 , Hao Liu 1
International Journal for Numerical Methods in Biomedical Engineering ( IF 2.2 ) Pub Date : 2020-02-24 , DOI: 10.1002/cnm.3321 Fulai Yuan 1 , Ning Dai 1 , Sukun Tian 1 , Bei Zhang 1 , Yuchun Sun 2 , Qing Yu 3 , Hao Liu 1
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The tooth defect is a frequently occurring disease within the field of dental clinic. However, the traditional manual restoration for the defective tooth needs an especially long treatment time, and dental computer aided design and manufacture (CAD/CAM) systems fail to restore the personalized anatomical features of natural teeth. Aiming to address the shortcomings of existed methods, this article proposes an intelligent network model for designing tooth crown surface based on conditional generative adversarial networks. Then, the data set for training the network model is constructed via generating depth maps of 3D tooth models scanned by the intraoral. Through adversarial training, the network model is able to generate tooth occlusal surface under the constraint of the space occlusal relationship, the perceptual loss, and occlusal groove filter loss. Finally, we carry out the assessment experiments for the quality of the occlusal surface and the occlusal relationship with the opposing tooth. The experimental results demonstrate that our method can automatically reconstruct the personalized anatomical features on occlusal surface and shorten the treatment time while restoring the full functionality of the defective tooth.
中文翻译：
基于条件生成对抗网络的牙合面个性化设计技术。
牙齿缺损是牙科诊所领域中经常发生的疾病。但是，传统的人工修复缺陷牙齿需要特别长的治疗时间，并且牙科计算机辅助设计和制造（CAD / CAM）系统无法还原天然牙齿的个性化解剖特征。为了解决现有方法的不足，本文提出了一种基于条件生成对抗网络的智能牙冠表面设计网络模型。然后，通过生成由口腔内扫描的3D牙齿模型的深度图，构造用于训练网络模型的数据集。通过对抗训练，该网络模型能够在空间咬合关系，知觉丧失，和咬合沟过滤器的损失。最后，我们进行了咬合面质量以及与相对牙齿的咬合关系的评估实验。实验结果表明，我们的方法可以自动重建咬合面上的个性化解剖特征，并缩短治疗时间，同时恢复缺损牙齿的全部功能。
更新日期：2020-02-24
中文翻译：
基于条件生成对抗网络的牙合面个性化设计技术。
牙齿缺损是牙科诊所领域中经常发生的疾病。但是，传统的人工修复缺陷牙齿需要特别长的治疗时间，并且牙科计算机辅助设计和制造（CAD / CAM）系统无法还原天然牙齿的个性化解剖特征。为了解决现有方法的不足，本文提出了一种基于条件生成对抗网络的智能牙冠表面设计网络模型。然后，通过生成由口腔内扫描的3D牙齿模型的深度图，构造用于训练网络模型的数据集。通过对抗训练，该网络模型能够在空间咬合关系，知觉丧失，和咬合沟过滤器的损失。最后，我们进行了咬合面质量以及与相对牙齿的咬合关系的评估实验。实验结果表明，我们的方法可以自动重建咬合面上的个性化解剖特征，并缩短治疗时间，同时恢复缺损牙齿的全部功能。
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