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首页> 外文期刊>Magma: Magnetic resonance materials in physics, biology, and medicine >Diffusion time dependence of magnetic resonance diffusion signal decays: An investigation of water exchange in human brain in vivo
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Diffusion time dependence of magnetic resonance diffusion signal decays: An investigation of water exchange in human brain in vivo

机译:磁共振扩散信号衰减的扩散时间依赖性:人脑体内水交换的研究

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Object To understand the behavior of diffusion signal decays of water in white matter of human brain in vivo and to estimate tissue microstructure parameters such as exchange time of diffusing water molecules in human brain. Materials and methods Diffusion decays were measured over an extended range of diffusion weightings (b-values) up to a maximum of 12,500 s/mm ~2 and diffusion times between 19.9 and 53.8 ms in eight healthy human subjects using MRI scans. The diffusion signal decays were all Rician noise corrected and then analyzed using multicomponent non-negative least squares (NNLS) data analysis. Results Three diffusion coefficients including one at (0.930 ± 0.003) × 10-3 (80 ± 1%) mm ~2/s, another at (0.067 ± 0.002) × 10-3 (19 ± 1%) mm ~2/s and a small contribution at (1.20 ± 0.02) × 10-2 (1.00 ± 0.01%)mm ~2/s were observed in the diffusion decay using the highest b-value. The diffusion decays show diffusion time dependence for the slow diffusion coefficient which has not previously been reported. Conclusion This study presents the accurate diffusion parameters by the use of very large b-values along with Rician noise correction and multi-component data analysis. The experimental results are consistent with the theoretical predictions used to estimate the exchange time of diffusing water molecules for a model of human brain tissue.
机译:目的了解水在人脑白质体内的扩散信号衰减行为,并估计组织微结构参数,例如人脑中水分子扩散的交换时间。材料和方法使用MRI扫描,在八名健康人的最大12500 s / mm〜2的最大扩散权重(b值)和19.9到53.8 ms的扩散时间范围内测量了扩散衰减。扩散信号衰减均经过Rician噪声校正,然后使用多分量非负最小二乘(NNLS)数据分析进行分析。结果三个扩散系数,其中一个为(0.930±0.003)×10-3(80±1%)mm〜2 / s,另一个为(0.067±0.002)×10-3(19±1%)mm〜2 / s使用最高b值在扩散衰减中观察到(1.20±0.02)×10-2(1.00±0.01%)mm〜2 / s的贡献很小。扩散衰减显示出扩散时间对慢扩散系数的依赖性,这在以前没有报道过。结论本研究通过使用非常大的b值以及Rician噪声校正和多分量数据分析来提供准确的扩散参数。实验结果与用于估计人脑组织模型中水分子扩散的交换时间的理论预测一致。

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