Abstract
There has been a vast increase in applications of magnetic resonance spectroscopy (MRS) in biomedical research during the last few years. This is not surprising since MRS provides both in vivo and in vitro a non‐invasive tool for various biochemical and biomedical studies. There are also expectations that clinical MRS will have an important role as a diagnostic tool. An essential prerequisite for the future success of MRS for applicability in biomedical sciences will be accurate and biochemically relevant data analysis (at as high a level of automation as possible). This review briefly describes principles of the methodology available for advanced quantitative data analysis in the frequency domain. Various biomedical applications are discussed in order to illustrate the practical aspects of the analyses and to show the applicability and power of biochemical prior knowledge‐based lineshape fitting analysis. Copyright © 2001 John Wiley & Sons, Ltd.
Abbreviations used:
Asp
aspartate
Cho
choline
Cr
creatine
EMCL
extra‐myocellular lipids
FID
free induction decay
FT
Fourier transform
GABA
γ‐aminobutyric acid
Glu
glutamate
Gln
glutamine
Glc
glucose
GPC
glycerophosphocholine
GPE
glycerophosphoethanolamine
HDL
high density lipoprotein
IDL
intermediate density lipoprotein
IMCL
intra‐myocellular lipids
LDL
low density lipoprotein
P~i~
inorganic phosphate
myo‐Ins
myo‐inositol
NAA
N‐acetyl‐aspartate
NAAG
N‐acetylaspartylglutamate
NTP
nucleotide triphosphates
PC
phosphocholine
PCr
phosphocreatine
PDE
phosphodiesters
PE
phosphoethanolamine
PME
phosphomonoesters
scyllo‐Ins
scyllo‐inositol
SNR
signal‐to‐noise ratio
Tau
taurine
TDFD
frequency domain fitting using time domain models
TLS
total lineshape
TSP
sodium 3‐trimethylsilyl[2,2,3,3‐D~4~] propionate
VLDL
very low density lipoprotein.