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在 16.4T 下研究大鼠脑内(1)H NMR 光谱的体内定量问题。

Quantification issues of in vivo (1) H NMR spectroscopy of the rat brain investigated at 16.4 T.

机构信息

High-Field Magnetic Resonance Center, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany.

出版信息

NMR Biomed. 2013 Jan;26(1):74-82. doi: 10.1002/nbm.2821. Epub 2012 Jun 19.

Abstract

The accuracy and precision of the quantification of metabolite concentrations in in vivo (1) H NMR spectroscopy are affected by linewidth and signal-to-noise ratio (SNR). To study the effect of both factors in in vivo (1) H NMR spectra acquired at ultrahigh field, a reference spectrum was generated by summing nine in vivo (1) H NMR spectra obtained in rat brain with a STEAM sequence at 16.4 T. By progressive deterioration of linewidth and SNR, 6400 single spectra were generated. In an accuracy study, the variation in the mean concentrations of five metabolites was mainly dependent on SNR, whereas 11 metabolites were predominantly susceptible to the linewidth. However, the standard deviations of the concentrations obtained were dependent almost exclusively on the SNR. An insignificant correlation was found between most of the heavily overlapping metabolite peaks, indicating independent and reliable quantification. Two different approaches for the consideration of macromolecular signals were evaluated. The use of prior knowledge derived by parameterization of a metabolite-nulled spectrum demonstrated improved fitting quality, with reduced Cramér-Rao lower bounds, compared to the calculation of a regularized spline baseline.

摘要

体内(1)H NMR 光谱中代谢物浓度定量的准确性和精密度受到谱线宽度和信噪比(SNR)的影响。为了研究超高场体内(1)H NMR 谱中这两个因素的影响,通过在 16.4T 下使用 STEAM 序列对大鼠脑内的 9 个体内(1)H NMR 谱进行求和,生成了参考谱。通过逐渐降低谱线宽度和 SNR,生成了 6400 个单谱。在准确性研究中,五种代谢物的平均浓度变化主要取决于 SNR,而 11 种代谢物主要受谱线宽度的影响。然而,获得的浓度的标准偏差几乎完全取决于 SNR。大多数严重重叠的代谢物峰之间发现相关性不显著,表明可以进行独立和可靠的定量。评估了两种不同的方法来考虑大分子信号。与计算正则化样条基线相比,使用通过代谢物空谱参数化获得的先验知识来表示可以提高拟合质量,降低克拉美-罗下限。

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