磁共振弥散成像
白质
磁共振成像
计算机科学
纤维束成像
扩散成像
扩散
部分各向异性
各项异性扩散
神经科学
核磁共振
物理
医学
人工智能
心理学
放射科
图像(数学)
热力学
作者
Denis Le Bihan,Jean‐François Mangin,Cyril Poupon,Chris A. Clark,Sabina Pappatà,Nicolas Molko,Hughes Chabriat
摘要
The success of diffusion magnetic resonance imaging (MRI) is deeply rooted in the powerful concept that during their random, diffusion-driven displacements molecules probe tissue structure at a microscopic scale well beyond the usual image resolution. As diffusion is truly a three-dimensional process, molecular mobility in tissues may be anisotropic, as in brain white matter. With diffusion tensor imaging (DTI), diffusion anisotropy effects can be fully extracted, characterized, and exploited, providing even more exquisite details on tissue microstructure. The most advanced application is certainly that of fiber tracking in the brain, which, in combination with functional MRI, might open a window on the important issue of connectivity. DTI has also been used to demonstrate subtle abnormalities in a variety of diseases (including stroke, multiple sclerosis, dyslexia, and schizophrenia) and is currently becoming part of many routine clinical protocols. The aim of this article is to review the concepts behind DTI and to present potential applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI