An accurate and efficient method for occlusal tooth wear assessment using 3D digital dental models

被引:0
|
作者
Nikolaos Gkantidis
Konstantinos Dritsas
Yijin Ren
Demetrios Halazonetis
Christos Katsaros
机构
[1] University of Bern,Department of Orthodontics and Dentofacial Orthopedics
[2] W.J. Kolff Institute,Department of Orthodontics
[3] University Medical Center Groningen,Department of Orthodontics
[4] University of Groningen,undefined
[5] School of Dentistry,undefined
[6] National and Kapodistrian University of Athens,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Tooth or material wear in a dentition is a common finding that requires timely diagnosis for management and prevention of further loss or associated esthetic or functional impairment. Various qualitative and quantitative methods have been suggested to measure tooth or material wear, but they present with limitations, such as imprecision, subjectivity, or high complexity. Here we developed and assessed an efficient 3D superimposition method to accurately measure occlusal tooth wear on 3D digital dental models. For this purpose, teeth on plaster casts were manually grinded on their occlusal surfaces to simulate various degrees of tooth wear. The casts were scanned using a surface scanner. Grinded tooth crowns (T1) were segmented and compared to the original crowns (T0) using five 3D surface superimposition techniques and a gold standard technique (GS). GS measurements were obtained by using intact adjacent structures as superimposition references. The technique of choice (complete crown with 30% estimated overlap of meshes) showed the best reproducibility (maximum difference < 0.050 mm3) and excellent agreement with the GS technique (median difference: 0.032 mm3). The suggested 3D superimposition method offers a highly efficient and accurate tool for tooth wear assessment, which could be applicable to clinical conditions.
引用
收藏
相关论文
共 50 条
  • [41] Quantification of 3d Tooth Movement After a Segmentation using a Watershed 3d Method
    Haddani, Hajar
    Elmoutaouakkil, Abdlmejid
    Benzekri, Fatiha
    Aghoutan, Hakima
    Bourzgui, Farid
    PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2016, : 7 - 11
  • [42] New automated digital colour workflow for accurate 3D printed models
    British Dental Journal, 2023, 234 : 61 - 61
  • [43] Accurate estimation of 6-DoF tooth pose in 3D intraoral scans for dental applications using deep learning
    Ding, Wanghui
    Sun, Kaiwei
    Yu, Mengfei
    Lin, Hangzheng
    Feng, Yang
    Li, Jianhua
    Liu, Zuozhu
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2024, 25 (09) : 1240 - 1249
  • [44] Method for reconstruction and representation 3D models in digital museum
    Qi, Yue
    Yang, Shen
    Cai, Su
    Journal of Computational Information Systems, 2008, 4 (04): : 1721 - 1726
  • [45] A Comparison of Dental Arch Width and Length on 3D Digital and Plaster Models
    Petrovic, Valentina
    Slaj, Martina
    Buljan, Mia
    Morelato, Luka
    Zulijani, Ana
    Peric, Berislav
    APPLIED SCIENCES-BASEL, 2024, 14 (09):
  • [46] A Fully Automated Method for 3D Individual Tooth Identification and Segmentation in Dental CBCT
    Jang, Tae Jun
    Kim, Kang Cheol
    Cho, Hyun Cheol
    Seo, Jin Keun
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 44 (10) : 6562 - 6568
  • [47] Evaluation of Occlusal Rest Seats With 3D Technology in Dental Education
    Ferreira Sampaio-Fernandes, Manuel Antonio
    Sampaio-Fernandes, Maria M.
    Fonseca, Patricia A.
    Almeida, Paulo R.
    Reis-Campos, Jose C.
    Figueiral, Maria H.
    JOURNAL OF DENTAL EDUCATION, 2015, 79 (02) : 166 - 176
  • [48] Creation of accurate 3D models of harbor porpoises (Phocoena phocoena) using 3D photogrammetry
    Irschick, Duncan J.
    Martin, Johnson
    Siebert, Ursula
    Kristensen, Jakob H.
    Madsen, Peter T.
    Christiansen, Fredrik
    MARINE MAMMAL SCIENCE, 2021, 37 (02) : 482 - 491
  • [49] The effect of regular dental cast artifacts on the 3D superimposition of serial digital maxillary dental models
    Eva Henninger
    Georgios Vasilakos
    Demetrios Halazonetis
    Nikolaos Gkantidis
    Scientific Reports, 9
  • [50] Effect of the haptic 3D virtual reality dental training simulator on assessment of tooth preparation
    Hattori, Akitaka
    Tonami, Ken-ichi
    Tsuruta, Jun
    Hideshima, Masayuki
    Kimura, Yasuyuki
    Nitta, Hiroshi
    Araki, Kouji
    JOURNAL OF DENTAL SCIENCES, 2022, 17 (01) : 514 - 520