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.
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.
Xu Yonghong, Ding Ling. A Review of Brain Tissue Microstructural Imaging Based on Diffusion Magnetic Resonance. Chinese Journal of Biomedical Engineering, 2021, 40(3): 354-363.
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