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使用滤过交换和扩散时间依赖峰度成像技术在临床前 MRI 系统上测量水交换。

Measuring water exchange on a preclinical MRI system using filter exchange and diffusion time dependent kurtosis imaging.

机构信息

Department of Radiology, Center for Biomedical Imaging, New York, New York, USA.

Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, New York, USA.

出版信息

Magn Reson Med. 2023 Apr;89(4):1441-1455. doi: 10.1002/mrm.29536. Epub 2022 Nov 20.

DOI:10.1002/mrm.29536
PMID:36404493
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9892228/
Abstract

PURPOSE

Filter exchange imaging (FEXI) and diffusion time (t)-dependent diffusion kurtosis imaging (DKI(t)) are both sensitive to water exchange between tissue compartments. The restrictive effects of tissue microstructure, however, introduce bias to the exchange rate obtained by these two methods, as their interpretation conventionally rely on the Kärger model of barrier limited exchange between Gaussian compartments. Here, we investigated whether FEXI and DKI(t) can provide comparable exchange rates in ex vivo mouse brains.

THEORY AND METHODS

FEXI and DKI(t) data were acquired from ex vivo mouse brains on a preclinical MRI system. Phase cycling and negative slice prewinder gradients were used to minimize the interferences from imaging gradients.

RESULTS

In the corpus callosum, apparent exchange rate (AXR) from FEXI correlated with the exchange rate (the inverse of exchange time, 1/τ ) from DKI(t) along the radial direction. In comparison, discrepancies between FEXI and DKI(t) were found in the cortex due to low filter efficiency and confounding effects from tissue microstructure.

CONCLUSION

The results suggest that FEXI and DKI(t) are sensitive to the same exchange processes in white matter when separated from restrictive effects of microstructure. The complex microstructure in gray matter, with potential exchange among multiple compartments and confounding effects of microstructure, still pose a challenge for FEXI and DKI(t).

摘要

目的

滤过交换成像(FEXI)和扩散时间(t)依赖性扩散峰度成像(DKI(t))均对组织隔室之间的水交换敏感。然而,组织微结构的限制作用会给这两种方法获得的交换率带来偏差,因为它们的解释传统上依赖于高斯隔室之间受限交换的 Kärger 模型。在这里,我们研究了 FEXI 和 DKI(t) 是否可以在离体小鼠脑中提供可比的交换率。

理论与方法

在临床前 MRI 系统上从离体小鼠脑中获取 FEXI 和 DKI(t) 数据。使用相循环和负切片预绕线梯度来最小化成像梯度的干扰。

结果

在胼胝体中,FEXI 的表观交换率(AXR)与 DKI(t) 的交换率(交换时间的倒数,1/τ)沿径向相关。相比之下,由于过滤效率低和组织微结构的混杂效应,在皮层中发现了 FEXI 和 DKI(t) 之间的差异。

结论

结果表明,当从微结构的限制作用中分离出来时,FEXI 和 DKI(t) 对白质中的相同交换过程敏感。灰质中复杂的微结构,可能存在多个隔室之间的交换和微结构的混杂效应,仍然对 FEXI 和 DKI(t) 构成挑战。

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Neuroimage. 2022 Aug 1;256:119277. doi: 10.1016/j.neuroimage.2022.119277. Epub 2022 May 3.
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Diffusion time dependence, power-law scaling, and exchange in gray matter.弥散时间依赖性、幂律标度和灰质中的交换。
通过水和代谢物扩散率及峰度的时间依赖性研究灰质中的交换、结构紊乱和限制。
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Sci Rep. 2025 Mar 13;15(1):8747. doi: 10.1038/s41598-025-93084-4.
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