利用2h单和双量子过滤扩散核磁共振光谱检测脑组织中不同的水群

Yaniv Assaf, Yoram Cohen
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引用次数: 34

摘要

本文首次对切除脑组织进行了同时2h单量子和双量子(SQ和DQ)扩散研究。在固定的扩散时间(Δ−Δ /3 = 21.3 ms)下测量2h SQ和DQ信号的表观扩散系数(adc),并作为扩散时间的函数来评估限制扩散[(Δ−Δ /3)从21.3 ms变为271.3 ms]。正如预期的那样,SQ信号的ADC高于DQ信号的ADC[分别为0.53±0.03 × 10−5(n= 3)和0.30±0.03 × 10−5cm2s−1(n= 4)]。当测量SQ和DQ信号的adc作为扩散时间的函数时,在每种情况下都观察到两个分量,一个快分量和一个慢分量。SQ信号的快速和慢速元件的adc分别为1.16±0.2 × 10−5和0.35±0.06 × 10−5cm2s−1(n= 3)。DQ信号的adc分别为0.31±0.05 × 10−5和~ 0.03±0.03 × 10−5cm2s−1(n= 2),其中慢分量相对较小。有趣的是,SQ信号的慢扩散成分被发现具有与DQ信号的快速成分相似的ADC。这些结果表明,脑水可以分为至少三个水种群,DQ信号起源于与大脑缓慢扩散的结构成分相互作用的水分子。本文讨论了利用SQ和DQ同时扩散测量和利用上述方法区分生物组织中水种群的能力所能获得的新见解。
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Detection of Different Water Populations in Brain Tissue Using2H Single- and Double-Quantum-Filtered Diffusion NMR Spectroscopy

This paper presents the first simultaneous2H single- and double-quantum (SQ and DQ, respectively) diffusion study of excised brain tissue. The apparent diffusion coefficients (ADCs) of the2H SQ and DQ signals were measured at a fixed diffusion time (Δ − δ/3 = 21.3 ms) and as a function of the diffusion time to assess restricted diffusion [(Δ − δ/3) was changed from 21.3 to 271.3 ms]. As expected, the ADC of the SQ signal was higher than that of the DQ signal [0.53 ± 0.03 × 10−5(n= 3) and 0.30 ± 0.03 × 10−5cm2s−1(n= 4), respectively]. When the ADCs of the SQ and DQ signals were measured as a function of the diffusion time, two components, a fast and a slow component, were observed in each case. The ADCs for the SQ signal were 1.16 ± 0.2 × 10−5and 0.35 ± 0.06 × 10−5cm2s−1(n= 3) for the fast and the slow components, respectively. The ADCs for the DQ signal were 0.31 ± 0.05 × 10−5and ∼0.03 ± 0.03 × 10−5cm2s−1(n= 2) with the slow component being relatively small. Interestingly, the slow-diffusion component of the SQ signal was found to have an ADC similar to that of the fast component of the DQ signal. These results suggest that brain water can be divided into at least three water populations and that the DQ signal originates from water molecules which interact with slow-diffusing structural components of the brain. The new insights that one can obtain using simultaneous SQ and DQ diffusion measurement and the ability to distinguish among water populations in biological tissues using the above approach are discussed.

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