{"title":"人工智能在心脏MRI分析中的应用","authors":"Q. Tao, Yuanyuan Wang, L. Xia","doi":"10.3760/CMA.J.ISSN.1005-1201.2020.03.001","DOIUrl":null,"url":null,"abstract":"人工智能（AI）在心脏MRI多序列的图像数据上有巨大的应用潜力。AI可辅助放射科医师和科研工作者对复杂心脏MRI图像进行快速精准的解读，为临床诊断和科学研究提供量化指标。笔者从技术角度回顾AI分析心脏MRI的发展历程，包括基于图像、基于模型和基于数据的3类算法的特点，并简要阐述现阶段MRI图像的AI研究所需要关注的问题。","PeriodicalId":39377,"journal":{"name":"Zhonghua fang she xue za zhi Chinese journal of radiology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of artificial intelligence in cardiac MRI analysis\",\"authors\":\"Q. Tao, Yuanyuan Wang, L. Xia\",\"doi\":\"10.3760/CMA.J.ISSN.1005-1201.2020.03.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"人工智能（AI）在心脏MRI多序列的图像数据上有巨大的应用潜力。AI可辅助放射科医师和科研工作者对复杂心脏MRI图像进行快速精准的解读，为临床诊断和科学研究提供量化指标。笔者从技术角度回顾AI分析心脏MRI的发展历程，包括基于图像、基于模型和基于数据的3类算法的特点，并简要阐述现阶段MRI图像的AI研究所需要关注的问题。\",\"PeriodicalId\":39377,\"journal\":{\"name\":\"Zhonghua fang she xue za zhi Chinese journal of radiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zhonghua fang she xue za zhi Chinese journal of radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3760/CMA.J.ISSN.1005-1201.2020.03.001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zhonghua fang she xue za zhi Chinese journal of radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.ISSN.1005-1201.2020.03.001","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
摘要
Artificial intelligence (AI) has great potential for application in multi sequence cardiac MRI image data. AI can assist radiologists and researchers in quickly and accurately interpreting complex cardiac MRI images, providing quantitative indicators for clinical diagnosis and scientific research. The author reviews the development process of AI analysis of cardiac MRI from a technical perspective, including the characteristics of three types of algorithms: image based, model based, and data based, and briefly elaborates on the issues that need to be addressed in current AI research on MRI images.
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