Our objective was to develop a precise method for quantification of in vivo
proton decoupled P-31 spectra from the human brain. This objective require
d that an appropriate spectral model be created and that the quantification
was performed using a non-subjective fitting technique. The precision of t
he quantification was assessed using Cramer-Rao standard deviations and com
pared using two different spectral models: one containing a pair of peaks r
epresenting 2,3-diphosphoglycerate, the other excluding this metabolite. Th
e data was quantified using a Marquardt-Levenberg (ML) algorithm incorporat
ing prior knowledge with a Hankel singular value decomposition (HSVD) perfo
rmed initially to provide parameter estimates for the ML algorithm. Quantif
ication was performed on two different in vivo 2-D CSI P-31 data sets: the
first examined II normal controls, the second examined a single individual
six times. Spectra from a region in the parieto-occipital cortex were analy
zed. The Cramer-Rao standard deviations were significantly lower for some m
etabolites with 2,3-diphosphoglycerate in the model: in the repeat study mo
bile phospholipids (p = 0.045) and phosphocholine (p = 0.034), and in the I
l controls mobile phospholipids (p,= 0.003) and P-i (p= 0.002). Copyright (
C) 1999 John Wiley & Sons, Ltd.