Application progresses of diffusion tensor imaging based on artificial intelligence
10.13929/j.issn.1003-3289.2020.10.033
- VernacularTitle: 基于人工智能弥散张量成像应用进展
- Author:
Zhaoyou SHENG
1
Author Information
1. School of Machinery and Automation, Wuhan University of Science and Technology
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Diffusion tensor imaging;
Image processing, computer-assisted;
Magnetic resonance imaging
- From:
Chinese Journal of Medical Imaging Technology
2020;36(10):1563-1566
- CountryChina
- Language:Chinese
-
Abstract:
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.
