Proceedings of 7T MR Imaging Studies in Cerebral Small Vessel Disease
10.3969/j.issn.1005-5185.2025.05.011
- VernacularTitle:脑小血管病的7T MRI影像学研究进展
- Author:
Zihao ZHANG
1
;
Yun YUAN
;
Peiyu HUANG
;
He WANG
;
Xin LOU
;
Qi YANG
;
Jie LU
;
Yilong WANG
Author Information
1. 中国科学院生物物理研究所,认知科学与心理健康全国重点实验室,北京 100101;合肥综合性国家科学中心人工智能研究院,新型生命医学成像与智能处理安徽省重点实验室,安徽 合肥 230088
- Publication Type:Journal Article
- Keywords:
Magnetic resonance imaging;
Cerebral small vessel diseases;
Magnetic resonance angiography;
Multimodal imaging;
Ultra-high field;
Artificial intelligence;
Review
- From:
Chinese Journal of Medical Imaging
2025;33(5):512-518
- CountryChina
- Language:Chinese
-
Abstract:
Cerebral small vessel disease represents a group of common vascular disorders involving pathological changes in arterioles,capillaries and venules,with microvascular investigation remaining a key challenge in stroke.With high signal-to-noise ratio and high contrast enabled by enhanced field strength,7T MRI can surpass the resolution limits of 3T MRI,revealing structural and functional abnormalities in cerebral small vessels below 400 μm,as well as detecting subtle lesions in brain tissue.This paper reviews the research progress of multimodal high-resolution imaging techniques based on 7T MRI,such as time-of-flight angiography,phase contrast imaging and susceptibility imaging,in the study of cerebral small vessel disease.Utilizing these technologies,7T MRI can clearly display the structure of cerebral small vessels,such as the lenticulostriate arteries and deep medullary veins,and measure functional parameters like flow velocity and susceptibility.Additionally,it can sensitively detect cerebral microbleeds and cortical cerebral microinfarct.These imaging data provide valuable information for detecting early features of cerebral small vessel disease and assessing its progression,offering new insights into its pathogenesis.Combined with artificial intelligence-based image analysis methods,7T MRI holds great promise for early diagnosis and progression evaluation in cerebral small vessel disease.
