A Basic Introduction to Diffusion Tensor Imaging Mathematics and ImageProcessing Steps

Venkateswaran Rajagopalan, Zhi-guo Jiang, G. Yue, Jelena Stojanovic-Radic, E. Pioro, G. Wylie, and Abhijit Das
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引用次数: 14

Abstract

Diffusion tensor imaging (DTI) is one of the most powerful magnetic resonance imaging (MRI) techniques developed in the twentieth century. In spite of the fact that DTI has been in use for more than two decades, it is still hard to find publications that simplify mathematics behind DTI for DTI users without extensive mathematical background. We believe that this may prevent some researchers from using DTI technique to its fullest extent. To the best of our knowledge, there are no published reviews which have tried to clarify the methods of DTI measurement and analysis. In this article, we attempted to explain the mathematics of DTI in simple terms with the goal of providing DTI users, with a better understanding of this technique and its usage. In addition, we have also described the DTI processing steps and explained the reasons behind each step.
基本介绍扩散张量成像数学和图像处理步骤
扩散张量成像(DTI)是20世纪发展起来的最强大的磁共振成像技术之一。尽管DTI已经使用了二十多年,但对于没有广泛数学背景的DTI用户来说,仍然很难找到简化DTI背后数学的出版物。我们认为这可能会阻止一些研究人员充分利用DTI技术。据我们所知,没有发表的评论试图澄清DTI测量和分析的方法。在本文中,我们试图用简单的术语解释DTI的数学原理,目的是让DTI用户更好地理解这项技术及其用法。此外,我们还描述了DTI的处理步骤,并解释了每个步骤背后的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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