A REVIEW OF STUDIES ON THE ORAL REPAIR SYSTEM

Wenjie Zhao

Abstract


With the development of economy, people's focus on oral medicine has changed from solving diseases to improving people's quality of life. For example, patients are no longer satisfied with the restoration of basic chewing functions, but pay more attention to the beauty and appearance of their restored teeth. However, aesthetics is highly subjective, and the traditional method of making restorations is inefficient and cumbersome, which can no longer meet the needs. The application of digital technology provides great possibility and convenience for the realization of patients' personalized requirements. In the field of stomatology, people have higher and higher requirements for digital technology. In the field of dental aesthetic restoration, the two-dimensional pictures of beautiful teeth made by DSD (Digital Smile Designer, Digital Smile design) can preview the effect of dental beautification to patients, which is an important medium for doctor-patient communication. Among them, the data display and simulation effect with higher requirements is one of the key studies at present. This paper will introduce in detail the key techniques and applications of the oral prosthesis system.


Keywords


Digital technology; Oral repair system; Oral medicine; DSD.

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刘云松等, 患者参与的数字化设计在前牙美学修复中的应用. 北京大学学报(医学版), 2014(01): 第90-94页.

Richard, V.N., The future of dental devices is digital. Dental materials : official publication of the Academy of Dental Materials, 2012. 28(1).

Tjan A H L , Miller G D , The J G P . Some esthetic factors in a smile[J]. Journal of Prosthetic Dentistry, 1984, 51(1):24-28.

Tinoo, M. M. , N. Saddki , and N. Hassan . "Factors influencing patient satisfaction with dental appearance and treatments they desire to improve aesthetics." BMC Oral Health 11(2011).

T. Hsung, W. Y. H. Lam and E. H. N. Pow, "Image to Geometry Registration for Virtual Dental Models," 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), Shanghai, China, 2018, pp. 1-4.

Walter Y.H. Lam, Richard T.C. Hsung, Leo Y.Y. Cheng, Edmond H.N. Pow,Mapping intraoral photographs on virtual teeth model,Journal of Dentistry,Volume 79,2018,Pages 107-110,

Pintus R , Gobbetti E , Callieri M , Techniques for seamless color registration and mapping on dense 3D models,[M]// Sensing the Past. Springer International Publishing, 2017.

Bernardini F, Rushmeier H E. The 3D Model Acquisition Pipeline[J]. Computer Graphics Forum, 2002, 21(2): 149-172.

Levoy M, Pulli K, Curless B, et al. The digital Michelangelo project: 3D scanning of large statues[C]. international conference on computer graphics and interactive techniques, 2000: 131-144.

Liu Y, Dong Y, Song Z, et al. 2D-3D Point Set Registration Based on Global Rotation Search[J]. IEEE Transactions on Image Processing, 2019, 28(5): 2599-2613

Dellepiane M, Callieri M, Ponchio F, et al. Mapping Highly Detailed Colour Information on Extremely Dense 3D Models: The Case of David s Restoration[J]. Computer Graphics Forum, 2008, 27(8): 2178-2187.

Borgeat L, Poirier G, Beraldin J A, et al. A framework for the registration of color images with 3D models[C]. international conference on image processing, 2009: 69-72.

Kaminsky R S, Snavely N, Seitz S M, et al. Alignment of 3D point clouds to overhead images[C]// IEEE Computer Society Conference on Computer Vision & Pattern Recognition Workshops. 2012.

Wu C , Clipp B , Li X , et al. 3D model matching with Viewpoint-Invariant Patches (VIP)[C]// 2008 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2008.

Dellepiane M , Scopigno R . Global refinement of image-to-geometry registration for color projection[C]// 2013 Digital Heritage International Congress (DigitalHeritage). IEEE, 2014.

Lensch H P A , Heidrich W , Seidel H P . A Silhouette-Based Algorithm for Texture Registration and Stitching[J]. Graphical Models, 2001, 63(4):245-262.

Crs E G . A Fast and Robust Framework for Semi-Automatic and Automatic Registration of Photographs to 3D Geometry[J]. Journal on Computing & Cultural Heritage, 2015, 7(4):1-23.

Bettio F, Gobbetti E, Merella E, et al. Improving the digitization of shape and color of 3D artworks in a cluttered environment[C]. digital heritage international congress, 2013: 23-30.

Bettio F, Pintus R, Villanueva A J, et al. Mont’e Scan: Effective Shape and Color Digitization of Cluttered 3D Artworks[J]. ACM Journal on Computing and Cultural Heritage, 2015, 8(1).

Zheng, S., J. Li and Q. Sun, A novel 3D morphing approach for tooth occlusal surface reconstruction. Computer-Aided Design, 2011. 43(3): p. 293-302.

Qiu, Nina & Ran, Fan & You, L & Jin, Xiaogang. (2013). An efficient and collision-free hole-filling algorithm for orthodontics. The Visual Computer. 29. 10.1007/s00371-013-0820-6.

Ning Dai, Yicheng Zhong, Hao Liu, Fusong Yuan, Yuchun Sun,Digital modeling technology for full dental crown tooth preparation,Computers in Biology and Medicine,Volume 71,2016,Pages 190-197,ISSN 0010-4825

柳玉树等, 数字化正畸修复联合治疗设计在前牙美学重建中的应用. 北京大学学报(医学版), 2018(01): 第78-84页.

A, M., B. V and H. R, A new mathematical process for the calculation of average forms of teeth. The Journal of Prosthetic Dentistry, 2005. 94(6).

杨峰, 牙齿隐形正畸系统的研究与实现, 2010, 浙江大学. 第 69页.

Zheng, S., J. Li and Q. Sun, A novel 3D morphing approach for tooth occlusal surface reconstruction. Computer-Aided Design, 2011. 43(3): p. 293-302.

闫国栋, 戴宁, 张长东, et al. 基于特征曲线驱动的牙齿修复体局部变形算法[J]. 中国生物医学工程学报, 2011(6):847-852.

杜中义, 牙模型编辑系统的研究与实现, 2012, 浙江大学. 第 54页.

范然,金小刚, 模板特征线匹配的牙齿形状修复. 计算机辅助设计与图形学学报, 2014(02): 第280-286页.

Xiaotong Jiang, Ning Dai, Xiaosheng Cheng, Jun Wang, Qingjin Peng, Hao Liu, Cheng Cheng,Robust tooth surface reconstruction by iterative deformation,Computers in Biology and Medicine,Volume 68,2016,Pages 90-100,ISSN 0010-4825


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