基于人工智能的多模态颌面部三维测量分析方法及进展  

Multimodal maxillofacial 3D measurement and analysis methods based on artificial intelligence and their progress

作　　者：向文祉 崔玮懿 陶乐然 于洪波[2] XIANG Wenzhi;CUI Weiyi;TAO Leran;YU Hongbo(College of Stomatology,Shanghai Jiao Tong University,Shanghai 200125;Department of Craniomaxillofacial Surgery,Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai Key Laboratory of Stomatology&Shanghai Research Institute of Stomatology,National Center for Stomatology,National Clinical Research Center of Stomatology,Shanghai 200011,China)

机构地区：[1]上海交通大学口腔医学院,上海200125 [2]上海交通大学医学院附属第九人民医院口腔颅颌面科,国家口腔医学中心,国家口腔疾病临床医学研究中心,上海市口腔医学重点实验室,上海市口腔医学研究所,上海200011

出　　处：《口腔颌面外科杂志》2025年第1期43-47,共5页Journal of Oral and Maxillofacial Surgery

基　　金：国家自然科学基金(81571022);上海市自然科学基金(23ZR1438100)。

摘　　要：头影测量是正颌正畸治疗的重要分析手段,随着三维成像技术的发展,越来越多的医生应用三维成像评估牙颌面畸形程度及制定治疗计划。基于多模态数据的三维测量比二维包含更多的解剖信息,可对牙颌面畸形患者进行更全面的测量分析,该技术目前已成为研究热点。但其在临床应用中存在人工操作费时、费力的问题,近年来人工智能的出现可助力三维头影测量中标志点定位、数据采集分析的自动化。本文将从三维头影测量的研究现状及人工智能在其中的辅助应用等方面进行综述。Cephalometric analysis is indispensable for orthodontic and orthognathic treatment.With the development of three-dimensional(3D)imaging technology,3D imaging is increasingly used to assess dentomaxillofacial deformity and formulate treatment plans.3D cephalometric analysis based on multi-modal data contains more anatomical information than traditional 2D cephalometric analysis,which can be used to conduct a more comprehensive diagnosis of patients with dentomaxillofacial deformities,and has become a research hotspot.However,its application is accompanied by the problem of time-consuming and laborious.In recent years,the emergence of artificial intelligence(AI)can assist in the automation of landmark positioning,data collection and analysis in 3D cephalometric measurement.In this article,research status and the auxiliary application of AI in 3D cephalometric analysis were reviewed and summarized.

关 键 词：三维头影测量 牙颌面畸形 人工智能 三维体素 点云 

分 类 号：R782[医药卫生—口腔医学]