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阿尔茨海默病杏仁体-海马MRI影像标注专家共识

Expert consensus on MRI image annotation of amygdala-hippocampus in patients with Alzheimer’s disease
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摘要 随着医学影像研究与人工智能(AI)技术逐步融合发展,影像数据如何更加规范与标准是需要关注的重点。准确标注影像数据是问题的核心,直接决定AI模型的应用效能。目前AI技术已经应用于阿尔茨海默病及海马萎缩等方面研究。为了规范杏仁体-海马MRI数据的标注和处理,中国女医师协会医学影像专委会联合业内计算机科学及AI领域的专家,通过实践操作和反复讨论,对杏仁体-海马的MRI影像标注提出初步指导意见。共识旨在统一数据采集、标注及处理,为建立该病的影像数据库提供基础,推动AI技术的优化应用。 With the gradual integration and development of medical imaging research and artificial intelligence(AI)technology,how imaging data can be more regulated and standardized is a key concern.Accurately labelling image data is at the heart of the problem,directly determining the efficacy of AI model applications.At present,AI technology has been applied to the study of Alzheimer’s disease and hippocampal atrophy,etc.To standardize the annotation and processing of amygdala-hippocampal MRI data,the Medical Imaging Committee of China Medical Women’s Association,together with experts in the fields of computer science and AI,has proposed preliminary guidelines for the annotation of amygdala-hippocampal MRI images through practical operations and repeated discussions.The consensus aims to unify data collection,annotation,and processing,provide a basis for the establishment of an image database for the disease,and promote the optimal application of AI technology.
作者 中国女医师协会医学影像专业委员会 柳思宇 耿道颖 冯逢 刘筠 周锟 吴昊 陈增爱 姜慧杰 曹鑫 Medical Imaging Committee of China Medical Women’s Association;GENG Daoying(Department of Radiology,Huashan Hospital of Fudan University,Shanghai 200040,China.E-mail:gengdy@163.com;Department of Radiology,Huashan Hospital of Fudan University,Shanghai 200040,China.)
出处 《国际医学放射学杂志》 2024年第4期435-440,共6页 International Journal of Medical Radiology
基金 国家自然科学基金面上项目(82372048) 上海市科委项目(22TS1400900,23S31904100,22ZR1409500) 复旦大学粤港澳大湾区精准医学研究院项目(KCH2310094)。
关键词 阿尔茨海默病 杏仁体 海马 人工智能 影像标注 Alzheimer’s disease Amygdala Hippocampus Artificial intelligence Annotation
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