首页|颞下颌关节紊乱病智能诊断系统的研究与实现

颞下颌关节紊乱病智能诊断系统的研究与实现

扫码查看
原文链接
  • 万方数据
  • 维普
颞下颌关节紊乱病(TMD)是一种常见的口腔颌面部疾病,前期症状不明显,不易被发现.本文提出了一种可用于边缘计算设备的TMD智能诊断系统,实现了在临床诊断中快速筛查TMD,以辅助临床对TMD进行早期干预.该系统首先对颞下颌关节各解剖部位进行自动化分割,然后对关节间隙进行定量测量,最后基于测量结果进行预测.在分割方面,本文利用半监督学习技术,实现了颞下颌关节部位的精确分割,平均戴斯系数(DC)达到了 0.846.本文还提出颞下颌关节三维(3D)间隙区域自动提取算法,建立了 TMD自动诊断模型,最终准确率达到83.87％.综上,本文开发了 TMD智能诊断系统,并将其部署在局域网内的边缘计算设备上,以期实现隐私保障下的TMD的快速筛查和智能诊断.
Research and implementation of intelligent diagnostic system for temporomandibular joint disorder
Temporomandibular joint disorder(TMD)is a common oral and maxillofacial disease,which is difficult to detect due to its subtle early symptoms.In this study,a TMD intelligent diagnostic system implemented on edge computing devices was proposed,which can achieve rapid detection of TMD in clinical diagnosis and facilitate its early-stage clinical intervention.The proposed system first automatically segments the important components of the temporomandibular joint,followed by quantitative measurement of the joint gap area,and finally predicts the existence of TMD according to the measurements.In terms of segmentation,this study employs semi-supervised learning to achieve the accurate segmentation of temporomandibular joint,with an average Dice coefficient(DC)of 0.846.A 3D region extraction algorithm for the temporomandibular joint gap area is also developed,based on which an automatic TMD diagnosis model is proposed,with an accuracy of 83.87％.In summary,the intelligent TMD diagnosis system developed in this paper can be deployed at edge computing devices within a local area network,which is able to achieve rapid detecting and intelligent diagnosis of TMD with privacy guarantee.

Temporomandibular joint disorderDeep learningGenerative adversarial netsSemi-supervised learningEdge computing

张明浩、杨东、李小囡、张倩、刘之洋

展开 >

南开大学电子信息与光学工程学院(天津 300350)

天津医科大学口腔医院(天津 300070)

天津市光电传感器与传感网络重点实验室(天津 300350)

颞下颌关节紊乱 深度学习 生成对抗网络 半监督学习 边缘计算

国家自然科学基金天津市自然科学基金多元投入重点项目天津市卫生健康科技项目天津市高等学校研究生教育改革研究计划项目

6187123921JCZDJC01090TJWJ2021MS019B231005531

2024

10.7507/1001-5515.202402002

生物医学工程学杂志
四川大学华西医院　四川省生物医学工程学会

生物医学工程学杂志

CSTPCD北大核心
影响因子：0.432
ISSN：1001-5515
年,卷(期)：2024.41(5)