TY - JOUR
T1 - Quantification of human brain metabolites from in vivo ¹H NMR magnitude spectra using automated artificial neural network analysis
AU - Hiltunen, Y
AU - Kaartinen, J
AU - Pulkkinen, J
AU - Hakkinen, AM
AU - Lundbom, N
AU - Kauppinen, Risto
PY - 2002/1/1
Y1 - 2002/1/1
N2 - Long echo time (TE=270 ms) in vivo proton NMR spectra resembling human brain metabolite patterns were simulated for lineshape fitting (LF) and quantitative artificial neural network (ANN) analyses. A set of experimental in vivo 1H NMR spectra were first analyzed by the LF method to match the signal-to-noise ratios and linewidths of simulated spectra to those in the experimental data. The performance of constructed ANNs was compared for the peak area determinations of choline-containing compounds (Cho), total creatine (Cr), and N-acetyl aspartate (NAA) signals using both manually phase-corrected and magnitude spectra as inputs. The peak area data from ANN and LF analyses for simulated spectra yielded high correlation coefficients demonstrating that the peak areas quantified with ANN gave similar results as LF analysis. Thus, a fully automated ANN method based on magnitude spectra has demonstrated potential for quantification of in vivo metabolites from long echo time spectroscopic imaging.
AB - Long echo time (TE=270 ms) in vivo proton NMR spectra resembling human brain metabolite patterns were simulated for lineshape fitting (LF) and quantitative artificial neural network (ANN) analyses. A set of experimental in vivo 1H NMR spectra were first analyzed by the LF method to match the signal-to-noise ratios and linewidths of simulated spectra to those in the experimental data. The performance of constructed ANNs was compared for the peak area determinations of choline-containing compounds (Cho), total creatine (Cr), and N-acetyl aspartate (NAA) signals using both manually phase-corrected and magnitude spectra as inputs. The peak area data from ANN and LF analyses for simulated spectra yielded high correlation coefficients demonstrating that the peak areas quantified with ANN gave similar results as LF analysis. Thus, a fully automated ANN method based on magnitude spectra has demonstrated potential for quantification of in vivo metabolites from long echo time spectroscopic imaging.
UR - http://www.scopus.com/inward/record.url?scp=0036290142&partnerID=8YFLogxK
U2 - 10.1006/jmre.2001.2457
DO - 10.1006/jmre.2001.2457
M3 - Article
C2 - 11820820
SN - 1096-0856
VL - 154
SP - 1
EP - 5
JO - Journal of Magnetic Resonance
JF - Journal of Magnetic Resonance
ER -