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Estimation of metabolite T1 relaxation times using tissue specific analysis signal averaging and bootstrapping from magnetic resonance spectroscopic imaging data

机译:使用组织特异性分析信号平均和磁共振光谱成像数据的自举估算代谢物T1的弛豫时间

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摘要

Object A novel method of estimating metabolite T1 relaxation times using MR spectroscopic imaging (MRSI) is proposed. As opposed to conventional single-voxel metabolite T1 estimation methods, this method investigates regional and gray matter (GM)/white matter (WM) differences in metabolite T1 by taking advantage of the spatial distribution information provided by MRSI.Material and methods The method, validated by Monte Carlo studies, involves a voxel averaging to preserve the GM/WM distribution, a non-linear least squares fit of the metabolite T1 and an estimation of its standard error by bootstrapping. It was applied in vivo to estimate the T1 of N-acetyl compounds (NAA), choline, creatine and myo-inositol in eight normal volunteers, at 1.5 T, using a short echo time 2D-MRSI slice located above the ventricles.Results WM-T1,NAA was significantly (P < 0.05) longer in anterior regions compared to posterior regions of the brain. The anterior region showed a trend of a longer WM T1 compared to GM for NAA, creatine and myo-Inositol. Lastly, accounting for the bootstrapped standard error estimate in a group mean T1 calculation yielded a more accurate T1 estimation.Conclusion The method successfully measured in vivo metabolite T1 using MRSI and can now be applied to diseased brain.
机译:目的提出了一种使用MR光谱成像(MRSI)估算代谢物T1弛豫时间的新方法。与传统的单素体代谢物T1估算方法不同,此方法利用MRSI提供的空间分布信息来研究代谢物T1中的区域和灰质(GM)/白质(WM)差异。经过蒙特卡洛研究的验证,涉及保留体素平均值以保持GM / WM分布,代谢物T1的非线性最小二乘拟合以及通过自举估计其标准误。使用位于心室上方的短回波时间2D-MRSI切片,将其在体内用于估算8名正常志愿者在1.5 T下的N-乙酰基化合物(NAA),胆碱,肌酸和肌醇的T1。与大脑的后部区域相比,前部区域的-T1,NAA显着更长(P <0.05)。与NAA,肌酸和肌醇的GM相比,前区的WM T1趋势更长。最后,在组平均值T1计算中考虑了自举标准误差估计值,从而得出了更准确的T1估计值。

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