口腔医学研究 ›› 2025, Vol. 41 ›› Issue (3): 200-206.DOI: 10.13701/j.cnki.kqyxyj.2025.03.005

• 口腔颌面影像学研究 • 上一篇    下一篇

CBCT影像的双侧颞下颌关节自动定位及多平面重建的初步研究

觧鑫1,2, 王城涛1, 潘笑3, 董琦1, 陈颖4, 张文涛5, 林梓桐1*   

  1. 1.南京大学医学院附属口腔医院口腔颌面医学影像科,南京市口腔医院,南京大学口腔医学研究所 江苏 南京 210008;
    2.丹阳市第三人民医院口腔科 江苏 丹阳 212300;
    3.南京大学医学院附属口腔医院预防口腔科,南京市口腔医院,南京大学口腔医学研究所 江苏 南京 210008;
    4.南京大学电子科学与工程学院 江苏 南京 210023;
    5.上海博恩登特科技有限公司 上海 201800
  • 出版日期:2025-03-28 发布日期:2025-03-25
  • 通讯作者: *林梓桐,E-mail:linzitong_710@163.com
  • 作者简介:觧鑫(1989~ ),男,安徽人,硕士,主治医师,研究方向:口腔颌面医学影像。
  • 基金资助:
    江苏省卫生健康委面上项目(编号:M2021077);南京大学医学院附属口腔医院2015学科带头人后备人才资助项目(编号:0223A204)

Preliminary Study on Automatic Localization and Multiplanar Reconstruction of CBCT Images of Bilateral Temporomandibular Joints

XIE Xin1,2, WANG Chengtao1, PAN Xiao3, DONG Qi1, CHEN Ying4, ZHANG Wentao5, LIN Zitong1*   

  1. 1. Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing 210008, China;
    2. Department of Stomatology, Third People's Hospital of Danyang City, Danyang 212300, China;
    3. Department of Preventive Dentistry, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing 210008, China;
    4. School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China;
    5. Shanghai Bondent Technology Co., Ltd., Shanghai 201800, China
  • Online:2025-03-28 Published:2025-03-25

摘要: 目的: 研发锥形束CT(cone beam CT,CBCT)影像的双侧颞下颌关节自动定位及多平面重建的算法,并对其稳定性和准确性进行临床验证。方法: 本研究中算法研发包括:(1)通过对CBCT影像进行最大密度投影(maximum density projection,MIP)获取上下颌分界线;(2)通过轴向MIP及分支点删除获得牙弓线控制点;(3)牙弓线两侧的终点为双侧颞下颌关节的中心点,通过平均密度投影(average intensity projection, AIP)获得颞下颌关节的矢状面和冠状面重建影像。选取我院3个不同CBCT品牌共计190例CBCT图像导入该软件进行双侧颞下颌关节的自动定位及三维重建,由2名口腔颌面影像医师根据该软件识别的双侧髁突最大长径层面及矢冠状位自动重建结果进行评分(1~4分),比较不同品牌CBCT图像评分结果的差异性。3个月后,随机选取30个CBCT图像再次进行自动定位及重建,评估该软件的稳定性。结果: 本研究开发的算法可用于CBCT影像的双侧颞下颌关节的自动定位和多平面重建。3个品牌的CBCT图像的双侧颞下颌关节的自动定位及评分的均分分别为3.33、3.26、3.51分,且3个品牌的CBCT图像评分两两比较均无统计学差异(P>0.05)。此外,重复性检验显示该算法具有良好的稳定性(Kappa=1)。结论: 基于MIP和AIP的自动重建算法可用于多品牌CBCT影像的双侧颞下颌关节影像的自动定位及多平面重建。

关键词: 颞下颌关节, 锥形束CT, 自动定位, 自动多平面重建

Abstract: Objective: To develop an algorithm for automatic localization and multiplanar reconstruction of temporomandibular joint (TMJ) on cone beam computed tomography (CBCT) images and to verify its accuracy and stability. Methods: In this study, the algorithm development included: (1) the maxillary and mandibular boundary lines were obtained with maximum density projection (MIP) on CBCT images; (2) the dental arch control points line was obtained with axial MIP and branch points deletion; (3) the endpoints on both sides of the dental arch line were the center points of the bilateral temporomandibular joints, and the sagittal and coronal reconstruction images of the temporomandibular joints were obtained with average intensity projection (AIP). Totally 190 CBCT image data from 3 different CBCT brands in our hospital were selected and imported into the developed software for automatic localization and multiplanar reconstruction of bilateral TMJs. Scoring were performed by 2 oral and dento-maxillofacial radiologists, the scoring was based on the results of automatic localization of condyle with maximum diameter, automatic sagittal and cortical reconstruction of bilateral TMJs respectively (0-4 scores). After 3 months, 30 CBCT images were randomly selected and imported into the software again for automatic localization and reconstruction, and the stability of the software was evaluated. Results: The algorithm developed in this study was able to automatic localize and reconstruct bilateral TMJs. The mean scores of automatic localizations and multiplanar reconstruction of bilateral TMJs were 3.33, 3.13, and 3.51 for 3 different CBCT devices’ images, respectively. There were no significant differences among them (P>0.05). And the algorithm showed perfect stability (Kappa=1). Conclusion: The algorithm based on maximum density projection and mean density projection could be used for automatic localization and multiplanar reconstruction of TMJs on different brands of CBCT images.

Key words: temporomandibular joint, cone-beam CT, automatic localization, automatic multiplanar reconstruction