Analysis of 1.5 Tesla proton MR spectra of human brain using LCModel and an imported basis set
Analysis of 1.5 Tesla proton MR spectra of human brain using LCModel and an imported basis set
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DOI：
10.1016/s0730-725x(99)00058-2
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发表时间：
1999-10-01
影响因子：
2.5
通讯作者：
Helms, G
中科院分区：
文献类型：
--
作者：
Helms, G
使用LC Model程序和在其他地点获得的基组对1.5特斯拉质子质量磁共振谱进行自动分析预计将变得更广泛，因为这种基组现在普遍可用。建议了一种用这种输入基组估计绝对浓度的校准程序，并讨论了它对T-2差分衰减的影响。根据顶叶灰质(n=51)和白质(n=43)的蒸汽局域频谱，其中28个(18个RSP)被量化，30INS回声时间(TE)谱的评估与在2T和20ms TE下获得的公开结果进行了验证。绝对浓度和代谢物比率的良好一致性证实了采用进口基准集的LC模型分析的有效性。然而，在白质中，谷氨酰胺往往被高估，并被分配到取决于基线效应的信噪比或胆碱的使用。详细讨论了LC模型分析所固有的代谢物之间的相互依赖关系。(C)1999年爱思唯尔科学公司。
Automated analysis of 1.5 Tesla proton mass MR spectra using the LCModel program with basis sets obtained at other sites is expected to become more widespread, as such basis sets are now generally available. A calibration procedure to estimate absolute concentrations with such imported basis sets is suggested and the implications for differential T-2 attenuation are discussed. Based on STEAM localized spectra from parietal gray (n = 51) and white matter (n = 43), of which 28 (18 rsp) were quantified, the evaluation of 30 Ins echo time (TE) spectra was validated against published results that were obtained at 2 Tesla and 20 ms TE. Good agreement for both absolute concentrations and metabolite ratios confirmed the usefulness of LCModel analysis with an imported basis set. However, in white matter, glutamine tended to be overestimated, and was assigned either to signal-to-noise depending baseline effects or the use of choline. Mutual interdependence of metabolites inherent to LCModel analysis is discussed in detail. (C) 1999 Elsevier Science Inc.