| 胜照友,蒋国璋,刘融.基于人工智能弥散张量成像应用进展[J].中国医学影像技术,2020,36(10):1563~1566 |
| 基于人工智能弥散张量成像应用进展 |
| Application progresses of diffusion tensor imaging based on artificial intelligence |
| 投稿时间：2019-11-22 修订日期：2020-05-16 |
| DOI：10.13929/j.issn.1003-3289.2020.10.033 |
| 中文关键词: 弥散张量成像 磁共振成像 人工智能 图像处理,计算机辅助 |
| 英文关键词:diffusion tensor imaging magnetic resonance imaging artificial intelligence image processing, computer-assisted |
| 基金项目:中国金属学会冶金安全与健康分会健康卫生科研项目（jkws201620）。 |
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| 中文摘要: |
| 弥散张量成像（DTI）为可用于无创观察脑微观结构的影像学方法，其数据丰富且复杂，分析过程耗费时间较多。采用基于人工智能（AI）方法可自动提取DTI中的特征并去除冗余特征，提高处理DTI数据的效率及准确性，为临床提供更多影像学依据。本文就基于AI的DTI应用进展进行综述。 |
| 英文摘要: |
| Diffusion tensor imaging (DTI) is a non-invasive imaging method which can be used to observe the microstructures of brain and bring rich and complex data, and the analysis process is time-consuming. Based on artificial intelligence (AI) method, the features of DTI can be automatically extracted while the redundant features were removed, therefore improving the efficiency and accuracy of DTI data processing and providing important imaging references for clinical practice. The application progresses of AI-based DTI were reviewed in this article. |
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