Quantification of NMR visible metabolites by spectral modeling usually
assumes a Lorentzian or Gaussian lineshape, despite the fact that exp
erimental lineshapes are neither, To minimize systematic fitting error
s, a mixed Lorentzian-Gaussian (Voigt) lineshape model was developed,
When tested with synthetic FIDs, the Voigt lineshape model gave more a
ccurate results (maximum error 2%) than either Lorentzian (maximum err
or 20%) or Gaussian models (maximum error 12%), The three lineshape mo
dels 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 grou
p of 10 healthy volunteers, fitting of H-1 spectra from cerebral white
matter gave significantly different peak areas between the methods, E
ven when area ratios were taken, the Lorentzian model gave higher valu
es (+5% for NAA/choline and +2% for NAA/creatine) than the Voigt lines
hape model, whereas the Gaussian model gave lower values (-2% and -1%,
respectively).