NDLI: Quantification of in vivo Magnetic Resonance Spectroscopy signals with baseline and lineshape corrections

Content Provider	IEEE Xplore Digital Library
Author	Garcia, M.I.O. Sima, D. Nielsen, F. Himmelreich, U. Van Huffel, S.
Copyright Year	2010
Description	Author affiliation: Dept. Electrical Engineering, ESAT-SCD, Katholieke Universiteit Leuven, Leuven, Belgium (Garcia, M.I.O.; Sima, D.; Van Huffel, S.) \|\| Biomedical Nuclear, Magnetic Resonance Unit, Katholieke Universiteit Leuven, Leuven, Belgium (Nielsen, F.; Himmelreich, U.)
Abstract	Quantification of Magnetic Resonance Spectroscopy (MRS) signals is a method to estimate metabolite concentrations of the tissue under investigation. Estimation of these concentrations provides information about the biochemical characteristics of the tissue and are finally used as a complementary information in the diagnosis of cancer, epilepsy and metabolic diseases. Obtaining reliable metabolite concentrations is still a challenge due to the experimental conditions affecting the spectral quality. The decay of MRS signals (lineshape of MR spectra), for instance, is affected by inhomogeneities in the magnetic field caused by shimming problems and tissue heterogeneities. To handle this type of distortions, we study a method where the unsuppressed water is used to correct lineshape distortions, an inversion recovery signal is used to account for macromolecules and lipids present in the tissue and splines are used to correct additional baseline distortions. In this study, we consider rat brain in vivo signals and quantify them taking into account both lineshape distortions and the background signal.
Starting Page	349
Ending Page	352
File Size	192881
Page Count	4
File Format	PDF
ISBN	9781424464920
e-ISBN	9781424464944
DOI	10.1109/IST.2010.5548503
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-01
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	In vivo Magnetic resonance Spectroscopy Pulse measurements Cancer Frequency domain analysis Distortion measurement Lipidomics Pollution measurement Magnetic materials
Content Type	Text
Resource Type	Article

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