{"title":"[Application of multimodal medical image fusion in temporomandibular joint disease].","authors":"W Zhao, X R Sun, Y Feng, W C Liu","doi":"10.3760/cma.j.cn112144-20241217-00495","DOIUrl":null,"url":null,"abstract":"<p><p>With the rapid development of modern technology, the deep integration of computer science and medicine has greatly propelled the field of the dental diagnostics field. Multimodal medical image registration refers to the fusion of information from various modalities of medical imaging. In other words, with the assistance of computer technology, the image data acquired from various radiological examinations undergo spatial registration and are merged to create a comprehensive new image, serving the purpose of computer-aided diagnosis. The temporomandibular joint (TMJ) has complex anatomical structures, so there is a wide range of diseases associated with it. Traditional single-modal imaging methods can only provide partial anatomical information, which limits the comprehensive assessment and subsequently hinders the diagnosis and treatment of TMJ disease. Multimodal medical image registration techniques, owing to their ability to provide comprehensive information, have been widely applied in the field of dentistry. This has greatly enhanced the efficiency of diagnosing and treating TMJ disease. The article discusses the advancements in the application of multimodal medical image registration in the context of temporomandibular joint disease.</p>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"60 3","pages":"296-301"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华口腔医学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn112144-20241217-00495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of modern technology, the deep integration of computer science and medicine has greatly propelled the field of the dental diagnostics field. Multimodal medical image registration refers to the fusion of information from various modalities of medical imaging. In other words, with the assistance of computer technology, the image data acquired from various radiological examinations undergo spatial registration and are merged to create a comprehensive new image, serving the purpose of computer-aided diagnosis. The temporomandibular joint (TMJ) has complex anatomical structures, so there is a wide range of diseases associated with it. Traditional single-modal imaging methods can only provide partial anatomical information, which limits the comprehensive assessment and subsequently hinders the diagnosis and treatment of TMJ disease. Multimodal medical image registration techniques, owing to their ability to provide comprehensive information, have been widely applied in the field of dentistry. This has greatly enhanced the efficiency of diagnosing and treating TMJ disease. The article discusses the advancements in the application of multimodal medical image registration in the context of temporomandibular joint disease.
期刊介绍:
Founded in August 1953, Chinese Journal of Stomatology is a monthly academic journal of stomatology published publicly at home and abroad, sponsored by the Chinese Medical Association and co-sponsored by the Chinese Stomatology Association. It mainly reports the leading scientific research results and clinical diagnosis and treatment experience in the field of oral medicine, as well as the basic theoretical research that has a guiding role in oral clinical practice and is closely combined with oral clinical practice.
Chinese Journal of Over the years, Stomatology has been published in Medline, Scopus database, Toxicology Abstracts Database, Chemical Abstracts Database, American Cancer database, Russian Abstracts database, China Core Journal of Science and Technology, Peking University Core Journal, CSCD and other more than 20 important journals at home and abroad Physical medicine database and retrieval system included.