Title :
Automatic procedure for the post-processing of in-vivo 1H magnetic resonance spectroscopy
Author :
Mainardi, L.T. ; Origi, D. ; Paganini, A. ; Falini, A. ; Calabrese, G. ; Scotti, G. ; Cerutti, S.
Author_Institution :
Dept. of Biomed. Eng., Polytech.. Univ. Milan, Italy
fDate :
31 Oct-3 Nov 1996
Abstract :
An automatic procedure to post-process the 1H magnetic resonance spectroscopy (MRS) signal is presented. The procedure, after the removal of the residual water signal, separates the metabolic peaks of MRS spectrum from the background noise and decomposes the spectrum in a sum of Lorentzian functions and Gaussian noise. As a result relevant metabolic information such as the relative concentrations of metabolites are automatically computed. The proposed procedure has been tested versus the manual analysis of four independent operators in order to verify the reliability of the extracted parameters
Keywords :
Gaussian noise; NMR spectroscopy; biological NMR; biomedical NMR; curve fitting; iterative methods; least squares approximations; medical signal processing; spectroscopy computing; Gaussian noise; Lorentzian functions; automatic post-processing procedure; background noise; fitting curves; frequency domain; in-vivo 1H magnetic resonance spectroscopy; long echo time; metabolic peaks; nonlinear least squares iterative algorithm; relative concentrations of metabolites; residual water signal removal; Biochemistry; Biomedical engineering; Curve fitting; Frequency; Gaussian noise; Humans; Magnetic resonance; Pathology; RF signals; Spectroscopy;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.651958
