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用于人脑微观结构体内评估的双脉冲扩散峰度成像

Double-pulsed diffusional kurtosis imaging for the in vivo assessment of human brain microstructure.

作者信息

Hui Edward S, Jensen Jens H

机构信息

Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China.

Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA.

出版信息

Neuroimage. 2015 Oct 15;120:371-81. doi: 10.1016/j.neuroimage.2015.07.013. Epub 2015 Jul 11.

Abstract

We have recently extended conventional single-pulsed-field-gradient (s-PFG) diffusional kurtosis imaging (DKI) to double-pulsed-field-gradient (d-PFG) diffusion MRI sequences, with a method known as double-pulsed DKI (DP-DKI). By virtue of a six-dimensional (6D) formulation for q-space, many of the results and insights of s-PFG DKI are generalized to those of DP-DKI. Owing to the fact that DP-DKI isolates the second order contributions to the d-PFG signal (i.e. second order in b-value), the 6D diffusional kurtosis encodes information beyond what is available from s-PFG sequences. Previously, we have demonstrated DP-DKI for in vivo mouse brain at 7 T, and it is the objective of this study to demonstrate the feasibility of DP-DKI at 3 T for the in vivo assessment of human brain microstructure. In addition, an example is given of how to utilize the additional information obtained from DP-DKI for the purpose of biophysical modeling. The relationship between a specific microscopic anisotropy metric estimated from DP-DKI and other recently proposed measures is also discussed.

摘要

我们最近将传统的单脉冲场梯度(s-PFG)扩散峰度成像(DKI)扩展到双脉冲场梯度(d-PFG)扩散磁共振成像序列,采用了一种称为双脉冲DKI(DP-DKI)的方法。借助于q空间的六维(6D)公式,s-PFG DKI的许多结果和见解被推广到DP-DKI。由于DP-DKI分离了对d-PFG信号的二阶贡献(即b值的二阶),6D扩散峰度编码的信息超出了s-PFG序列所能提供的信息。此前,我们已经在7T条件下对活体小鼠脑进行了DP-DKI研究,本研究的目的是证明在3T条件下DP-DKI用于活体评估人脑微观结构的可行性。此外,还给出了一个如何利用从DP-DKI获得的额外信息进行生物物理建模的例子。还讨论了从DP-DKI估计的特定微观各向异性度量与其他最近提出的度量之间的关系。

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