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双指数与扩散峰度成像,以及使用四阶张量的广义扩散张量成像(GDTI):一组健康受试者的研究

Biexponential and diffusional kurtosis imaging, and generalised diffusion-tensor imaging (GDTI) with rank-4 tensors: a study in a group of healthy subjects.

作者信息

Minati Ludovico, Aquino Domenico, Rampoldi Stefano, Papa Sergio, Grisoli Marina, Bruzzone Maria Grazia, Maccagnano Elio

机构信息

Scientific Direction Unit, Fondazione Istituto Nazionale Neurologico Carlo Besta, via Celoria 11, Milan, Italy.

出版信息

MAGMA. 2007 Dec;20(5-6):241-53. doi: 10.1007/s10334-007-0091-1. Epub 2007 Nov 29.

DOI:10.1007/s10334-007-0091-1
PMID:18046591
Abstract

OBJECT

Clinical diffusion imaging is based on two assumptions of limited validity: that the radial projections of the diffusion propagator are Gaussian, and that a single directional diffusivity maximum exists in each voxel. The former can be removed using the biexponential and diffusional kurtosis models, the latter using generalised diffusion-tensor imaging. This study provides normative data for these three models.

MATERIALS AND METHODS

Eighteen healthy subjects were imaged. Maps of the biexponential parameters D (fast), D (slow) and f (slow), of D and K from the diffusional kurtosis model, and of diffusivity D' were obtained. Maps of generalised anisotropy (GA) and scaled entropy(SE) were also generated, for second and fourth rank tensors. Normative values were obtained for 26 regions.

RESULTS

In grey versus white matter, D (slow) and D' were higher and D (fast), f (slow) and K were lower. With respect to maps of D', anatomical contrast was stronger in maps of D (slow) and K. Elevating tensor rank increased SE, generally more significantly than GA, in: anterior limb of internal capsule, corpus callosum, deep frontal and subcortical white matter, along superior longitudinal fasciculus and cingulum.

CONCLUSION

The values reported herein can be used for reference in future studies and in clinical settings.

摘要

目的

临床扩散成像基于两个有效性有限的假设:扩散传播子的径向投影是高斯分布的,并且每个体素中存在一个单一的最大方向扩散率。前者可以使用双指数和扩散峰度模型去除,后者可以使用广义扩散张量成像去除。本研究提供了这三种模型的规范数据。

材料与方法

对18名健康受试者进行成像。获得了双指数参数D(快)、D(慢)和f(慢)的图谱,扩散峰度模型的D和K图谱,以及扩散率D'的图谱。还生成了二阶和四阶张量的广义各向异性(GA)和缩放熵(SE)图谱。获得了26个区域的规范值。

结果

在灰质与白质中,D(慢)和D'较高,而D(快)、f(慢)和K较低。关于D'图谱,D(慢)和K图谱中的解剖对比度更强。在以下区域,提高张量阶数会增加SE,通常比GA更显著:内囊前肢、胼胝体、额叶深部和皮质下白质、沿上纵束和扣带。

结论

本文报告的值可用于未来研究和临床环境中的参考。

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本文引用的文献

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NMR Biomed. 2008 Jan;21(1):2-14. doi: 10.1002/nbm.1143.
2
Is the "biexponential diffusion" biexponential?
Magn Reson Med. 2007 Mar;57(3):464-9. doi: 10.1002/mrm.21164.
3
Three-dimensional characterization of non-gaussian water diffusion in humans using diffusion kurtosis imaging.使用扩散峰度成像对人体中非高斯水扩散进行三维表征。
PLoS One. 2016 Nov 29;11(11):e0167274. doi: 10.1371/journal.pone.0167274. eCollection 2016.
4
Toward tract-specific fractional anisotropy (TSFA) at crossing-fiber regions with clinical diffusion MRI.利用临床扩散磁共振成像在交叉纤维区域实现特定纤维束的各向异性分数(TSFA)
Magn Reson Med. 2015 Dec;74(6):1768-79. doi: 10.1002/mrm.25548. Epub 2014 Dec 1.
5
On the estimation of conventional DTI-derived indices by fitting the non-Gaussian DKI model to diffusion-weighted imaging datasets.通过将非高斯扩散峰度成像(DKI)模型拟合到扩散加权成像数据集来估计传统扩散张量成像(DTI)衍生指标。
Neuroradiology. 2013 Nov;55(11):1423-4. doi: 10.1007/s00234-013-1271-5. Epub 2013 Sep 5.
6
A review of diffusion tensor magnetic resonance imaging computational methods and software tools.扩散张量磁共振成像计算方法和软件工具综述。
Comput Biol Med. 2011 Dec;41(12):1062-72. doi: 10.1016/j.compbiomed.2010.10.008. Epub 2010 Nov 18.
7
MRI quantification of non-Gaussian water diffusion by kurtosis analysis.磁共振成像(MRI)通过峰度分析对非高斯水扩散的定量研究。
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8
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9
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4
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J Magn Reson. 2006 Apr;179(2):223-33. doi: 10.1016/j.jmr.2005.12.005. Epub 2006 Jan 10.
5
Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging.扩散峰度成像:通过磁共振成像对非高斯水扩散进行量化。
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6
Generalized scalar measures for diffusion MRI using trace, variance, and entropy.
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J Magn Reson. 2004 Sep;170(1):56-66. doi: 10.1016/j.jmr.2004.05.020.
8
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10
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