Internal Defects Detection and Their Features Statistical Analysis of Porcelain Teeth

Zhong Ying-chun; Lyu Shuai; Luo Peng; Jian Yu-tao; Chu Qian-kun

doi:10.12052/gdutxb.170091

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Internal Defects Detection and Their Features Statistical Analysis of Porcelain Teeth

更新时间：2026-05-27

- Internal Defects Detection and Their Features Statistical Analysis of Porcelain Teeth
- Vol. 35, Issue 1, Pages: 1-5(2018)
- 作者机构：
  
  1. 广东工业大学　自动化学院,广东,广州,510006
  2. 深圳市第六人民医院　骨科,广东,深圳,518000
  3. 中山大学　口腔研究所,广东,广州,510080
  4. 深圳市第六人民医院　影像科,广东,深圳,518000
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.170091
  CLC： TP391.41
- Online First：09 January 2018，
  
  Published：2018
- 稿件说明：
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钟映春, 吕帅, 罗鹏, 简裕涛, 褚千琨. 烤瓷牙内部缺陷的图像检测及其特征统计分析[J]. 广东工业大学学报, 2018, 35(1): 1-5.

Zhong Ying-chun, Lyu Shuai, Luo Peng, et al. Internal Defects Detection and Their Features Statistical Analysis of Porcelain Teeth[J]. 2018, 35(1): 1-5.
钟映春, 吕帅, 罗鹏, 简裕涛, 褚千琨. 烤瓷牙内部缺陷的图像检测及其特征统计分析[J]. 广东工业大学学报, 2018, 35(1): 1-5. DOI： 10.12052/gdutxb.170091.

Zhong Ying-chun, Lyu Shuai, Luo Peng, et al. Internal Defects Detection and Their Features Statistical Analysis of Porcelain Teeth[J]. 2018, 35(1): 1-5. DOI： 10.12052/gdutxb.170091.

摘要

烤瓷牙是临床中牙体缺损或缺失等口腔疾病比较理想的修复体. 受到制作工艺的影响

在烤瓷牙制作过程中难免产生气孔、缩孔、塌陷等缺陷. 这些缺陷严重影响烤瓷牙的使用寿命和强度. 本文提出采用MicroCT(超高精度CT)扫描烤瓷牙

然后对扫描后的图像进行处理

使得缺陷在图像中清晰呈现出来; 再对这些缺陷的面积、位置等特征进行统计分析

从而为烤瓷牙生产工艺的改进提供指导. 实验结果表明

烤瓷牙的缺陷面积呈现Weibull分布

面积小于100像素的缺陷占总数的94.9%

这说明由缩孔引起的小面积缺陷是缺陷的主体部分

而塌陷引起的大面积缺陷则数量很少. 此外

缺陷的位置主要集中在牙冠边缘、圆弧过渡以及烤瓷与金属熔附的结合面附近. 而这些部位恰恰是应力集中的地方. 可见

减小应力避免缩孔、加强在熔附过程中的排气等措施是有效减少烤瓷牙内部缺陷的主要手段.

Abstract

Porcelain tooth is an ideal prosthesis of oral diseases. Limited by the fabrication process

there are always some internal defects in porcelain teeth

such as stomas

shrinkages and bubbles. These defects affect the service life and strength of porcelain teeth. It is proposed to scan the porcelain teeth by MicroCT. Then the defects can be displayed clearly through image processing. Subsequently

some features of defect are extracted

including areas and positions. Finally

the statistics of these features are analyzed in order to giveadviceto improve the fabrication process of porcelain teeth. The analysis results show that the distribution of area of internal defect obeys Weibull distribution

that is

the number of internal defects with large area is small but the number of internal defects with small areas is quite large. It reveals that most of defects are caused by porosity and shrinkage

which often result in small area defects. Additionally

the defects are mainly located at crown and joint surface

where the stress concentration is often located. Therefore

there are two methods to reduce the defects. One is reduce the stress concentration and the otherto improve the gas exit.

关键词

Keywords

references

LAWN B R, PAJARES A, ZHANG Y, et al .Materials design in the performance of all-ceramic crowns[J ] .Biomaterials, 2004, 25:2885-2892.

WEI N.Zirconia ceramic crown all compared withtheclinical curative effect of precious metal porcelain crowns repair[J].Chinese and Foreign Medical Research, 2017, 15(8): 122-123.

LUO X P.Dental ceramic materials and technical progress of repair system[J].Oral Material Instruments Magazine, 2016, 25(1): 1-4.

ZHANG Z T.Review on dental ceramics[J].Oral Material Instruments Magazine, 2016, 25(4): 169-172.

LIU L, ZHANG Y J.Zirconium dioxide full porcelain tooth and nickel-chromium alloy PFM restoration body defect patients clinical value comparison research[J].Zhejiang Trauma Surgery, 2016, 21(2): 367-368.

XIE J X, ZHANG L.MicroCT technology at home and abroad, industry development present situation and application trend of the research[J]. China Medical Equipment Information, 2016, 22(3): 1-11.

BASIL A A, WADDELL J N, KARL L, et al . Influence of veneering porcelain thickness and cooling rate on residual stresses in zirconia molarcrowns[J ] . Dental Materials, 2014, 30(3): 271-280.

THOMAS J B, REBECCA C R, GOWLAND RE. Immaculate conceptions: MicroCTof diagnosis in Romano-British infantskeletons[J]. Journal of Archaeological Science, 2016, 74(10): 124-134

HELEN R B, NICK A B, CHARLENE MD, et al . Micro-CT evaluation of bone defects: applications to osteolytic bone metastases, bonecysts, and fracture[J ] . Medical Engineering Physics, 2013, 35(11): 1645-1650.

LIU G P.The principle and application of MicroCT[J].Tissue Engineering and Reconstruction Surgery, 2006, (4): 228-229.

GENG N, LI X Q, YI X Z, et al . MicroCT the application of digital teaching in tooth anatomy[J ] .InternationalJournal of Oral Medicine, 2010, 37(1): 10-13.

Jian Y, He Z H, Dao L, et al . Three- dimensional characterization and distribution of fabrication defects in bilayered lithium disilicate glass-ceramic molar crowns[J ] . Dental materials: official publication of the Academy of Dental Materials, 2017, 33(4): 178.

HEDJAM R, NAFCHI H Z, KALACSKA M, et al . Influence of color-to-gray conversion on the performance of document image binarization: towarda novel optimization problem[J ] . IEEE Transactions on Image Processing, 2015, 24(11): 3637-3651.

XUE L Y, ZHENG S L, PAN B C, et al .Gray image threshold segmentation method based on neural network[J ] .Journal of Guangdong University of Technology, 2005, 22(4): 67-72.

XU K. Feature extraction based on contourlettransform and its application to surface inspection of metals[J]. Optical Engineering, 2012, 51(11): 2001-2004.

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