Use of voigt lineshape for Quantification of in vivo H-1 spectra
Use of voigt lineshape for Quantification of in vivo H-1 spectra
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DOI：
10.1002/mrm.1910370504
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发表时间：
1997-05-01
影响因子：
3.3
通讯作者：
Freise, A
中科院分区：
文献类型：
--
作者：
Marshall, I;Higinbotham, J;Freise, A
通过光谱建模对NMR可见代谢物的定量通常假定洛伦兹或高斯线形，尽管事实上实验线形两者都不是。为了使系统拟合误差最小化，开发了混合洛伦兹-高斯（Voigt）线形模型。当用合成FID测试时，Voigt线型模型给出了更精确的结果（最大误差2%），（最大误差20%）或高斯模型（最大误差12%），三种线形模型在体外实验中给出了显著不同的峰面积，与Voigt模型具有低得多的chi（2）（2.1与洛伦兹模型的5.2和高斯模型的6.2相比），在一组10名健康志愿者中，来自大脑白色物质的H-1光谱的拟合在方法之间给出了显著不同的峰面积，即使在采用面积比时，洛伦兹模型给出的值（NAA/胆碱为+5%，NAA/肌酸为+2%）也高于Voigt线形模型，而高斯模型给出的值较低（分别为-2%和-1%）。
Quantification of NMR visible metabolites by spectral modeling usually assumes a Lorentzian or Gaussian lineshape, despite the fact that experimental lineshapes are neither, To minimize systematic fitting errors, a mixed Lorentzian-Gaussian (Voigt) lineshape model was developed, When tested with synthetic FIDs, the Voigt lineshape model gave more accurate results (maximum error 2%) than either Lorentzian (maximum error 20%) or Gaussian models (maximum error 12%), The three lineshape models gave substantially different peak areas in an in vitro experiment, with the Voigt model having a much lower chi(2) (2.1 compared with 5.2 for the Lorentzian model and 6.2 for the Gaussian model), In a group of 10 healthy volunteers, fitting of H-1 spectra from cerebral white matter gave significantly different peak areas between the methods, Even when area ratios were taken, the Lorentzian model gave higher values (+5% for NAA/choline and +2% for NAA/creatine) than the Voigt lineshape model, whereas the Gaussian model gave lower values (-2% and -1%, respectively).