首页 | 本学科首页   官方微博 | 高级检索  
     

基于扩散磁共振的脑组织微结构成像研究综述
引用本文:徐永红,丁玲. 基于扩散磁共振的脑组织微结构成像研究综述[J]. 中国生物医学工程学报, 2021, 40(3): 354-363. DOI: 10.3969/j.issn.0258-8021.2021.03.11
作者姓名:徐永红  丁玲
作者单位:(燕山大学电气工程学院,河北 秦皇岛 066004)
基金项目:国家自然科学基金(60873121)
摘    要:微结构成像是为了改善传统扩散磁共振成像的一些缺点而发展的一种新技术.微结构成像范式旨在建立组织结构特性与体素级磁共振信号相联系的模型,以此来估计并绘制微结构属性.目前该技术正在实现从实验室研究到临床应用研究的转变.首先介绍扩散磁共振成像并分析传统技术存在的主要问题,然后阐述微结构成像原理;随后,对受阻与受限制复合扩散模...

关 键 词:扩散磁共振成像  微结构成像  多隔室模型  深度学习
收稿时间:2020-04-30

A Review of Brain Tissue Microstructural Imaging Based on Diffusion Magnetic Resonance
Xu Yonghong,Ding Ling. A Review of Brain Tissue Microstructural Imaging Based on Diffusion Magnetic Resonance[J]. Chinese Journal of Biomedical Engineering, 2021, 40(3): 354-363. DOI: 10.3969/j.issn.0258-8021.2021.03.11
Authors:Xu Yonghong  Ding Ling
Affiliation:(School of Electrical Engineering,Yanshan University,Qinhuangdao 066004,Hebei,China)
Abstract:Microstructure imaging is a new technology developed to improve some of the shortcomings of traditional diffusion magnetic resonance imaging. The microstructure imaging paradigm aims to estimate and map microscopic properties of tissue using a model that links these properties to the voxel scale MR signal. It is currently undergoing a transition from laboratory research to clinical applications. In this article, we first introduced the diffusion magnetic resonance imaging technology, analyzed the main problems existing and explained the principle of microstructure imaging. In the following parts, the research status of multi-compartment models was reviewed such as CHARMED and NODDI, including model composition, model optimization and clinical application. The research progress of deep learning algorithm applied to microstructure imaging was reviewed as well. At last, the development trend of microstructure imaging technology was prospected.
Keywords:diffusion magnetic resonance imaging  microstructure imaging  multi-compartment model  deep learning  
点击此处可从《中国生物医学工程学报》浏览原始摘要信息
点击此处可从《中国生物医学工程学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号