Diffusion weighted imaging: Technique and applications.
Diffusion weighted imaging: Technique and applications.
复制标题
DOI：
10.4329/wjr.v8.i9.785
复制
发表时间：
2016-09-28
影响因子：
2.5
通讯作者：
Gupta AK
中科院分区：
文献类型：
--
作者：
Baliyan V;Das CJ;Sharma R;Gupta AK
扩散加权成像（DWI）是一种基于布朗运动差异产生信号对比度的方法。 DWI是一种评估人体分子功能和微结构的方法。 DWI 信号对比度可以通过表观扩散系数图进行量化，并可作为治疗反应评估和疾病进展评估的工具。检测和量化扩散各向异性的能力催生了一种称为扩散张量成像 (DTI) 的新范式。 DTI 是一种评估具有高度组织纤维结构的器官的工具。 DWI 是现代最先进的磁共振成像的一个组成部分，在神经影像学和肿瘤学中不可或缺。 DWI 是一个技术快速发展的领域，其应用与日俱增。这篇综述文章深入了解了 DWI 作为一种新的成像范式的演变，并总结了 DWI 当前在各种疾病过程中的作用。
Diffusion weighted imaging (DWI) is a method of signal contrast generation based on the differences in Brownian motion. DWI is a method to evaluate the molecular function and micro-architecture of the human body. DWI signal contrast can be quantified by apparent diffusion coefficient maps and it acts as a tool for treatment response evaluation and assessment of disease progression. Ability to detect and quantify the anisotropy of diffusion leads to a new paradigm called diffusion tensor imaging (DTI). DTI is a tool for assessment of the organs with highly organised fibre structure. DWI forms an integral part of modern state-of-art magnetic resonance imaging and is indispensable in neuroimaging and oncology. DWI is a field that has been undergoing rapid technical evolution and its applications are increasing every day. This review article provides insights in to the evolution of DWI as a new imaging paradigm and provides a summary of current role of DWI in various disease processes.