磁共振成像2026，Vol.17Issue(1)：123-127,5.DOI:10.12015/issn.1674-8034.2026.01.019
胎儿脑发育的磁共振成像研究进展
Advances in magnetic resonance imaging of fetal brain development
摘要
Abstract
Fetal magnetic resonance imaging(MRI)is an advanced prenatal imaging diagnostic technology.Beyond the scope of traditional anatomical examinations,it enables non-invasive assessment of in utero metabolic and functional development of the fetal brain and other organs.With the rapid advancement of magnetic resonance technology,fetal functional MRI is expected to become a powerful method for understanding fetal development and early identification of neurological abnormalities and other fetal diseases.At present,the research on fetal magnetic resonance imaging in China mainly focuses on the assessment of normal fetal nervous system development and the study of brain structure in malformed fetuses.However,there is a lack of research on the trajectory of fetal brain functional development,prediction of birth outcomes,and neurobehavioral abilities.This article mainly discusses the progress in magnetic resonance research on fetal brain venous development,metabolism,microstructure,and functional connectivity,and points out the future research directions.This review will provide new methods for evaluating the normal brain development pattern of the fetus and early detection of fetal brain development abnormalities.By observing changes in brain function and metabolic activity,abnormal metabolism and neural signals can be identified,providing a basis for early diagnosis and postnatal treatment of diseases.关键词
胎儿/磁共振成像/扩散加权成像/扩散张量成像/磁敏感加权成像/体素内不相干运动/磁共振波谱/静息态功能磁共振成像Key words
fetal/magnetic resonance imaging/diffusion weighted imaging/diffusion tensor imaging/susceptibility weighted imaging/intravoxel incoherent motion/magnetic resonance spectroscopy/rest-state function magnetic resonance imaging分类
医药卫生引用本文复制引用
杨维新,王荣品..胎儿脑发育的磁共振成像研究进展[J].磁共振成像,2026,17(1):123-127,5.基金项目
Guizhou Provincial Science and Technology Program(No.Qiankehe Support[2019]2810). 贵州省科技计划项目(编号:黔科合支撑[2019]2810号) （No.Qiankehe Support[2019]2810）
