Abstract
Frequency shift differences in 1H MRSI spectra due to magnetic field inhomogeneities pose a problem, if automated lineshape fitting routines (LF) or artificial neural network (ANN) methods are used for spectral quantification. Use of self-organizing map (SOM) analysis for automated shift correction of long echo time (TE=270 ms) in vivo 1H NMR spectra of human brain is demonstrated. The map is obtained by training a SOM with proton spectra and the chemical shifts of the reference vectors were calibrated. The maps were then used for classification of spectroscopic imaging data and the calibration information for corrections of chemical shifts.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Pfeuffer, J., Tkac, I., Provencher, S. W., Gruetter, R.: Toward an in vivo neurochemical profile: quantification of 18 metabolites in short-echo-time 1H NMR spectra of the rat brain, J. Magn. Reson. 141 (1999) 104–120
Hakumäki, J.M., Ala-Korpela, M., Kauppinen, R.A.: 1H nuclear magnetic resonance spectroscopy: noninvasive neurochemistry for basic research and clinical applications, Curr. Top. Neurochem. 1 (1997) 59–85
Ross, B., Michaelis, T.: Clinical applications of magnetic resonance spectroscopy, Magn Reson Q 10 (1994) 191–247
Barker, P.B., Glickson, J.D., Bryan, R.N.: In vivo magnetic resonance spectroscopy of human brain tumors, Top Magn Reson Imaging 5 (1993) 32–45
Usenius, J.-P., Tuohimetsä, S., Vainio, P., Ala-Korpela, M., Hiltunen, Y., and Kauppinen, R.: Automatic Classification of Human Brain Tumours by Neural Network Analysis Using In Vivo 1H Magnetic Resonance Spectroscopic Metabolite Phenotypes NeuroReport 7 (1996) 1597–1600
Kaartinen, J.; Hiltunen, Y.; Kovanen, P. T., Ala-Korpela, M: Classification of Human Blood Plasma Lipid Abnormalities by 1H Magnetic Resonance Spectroscopy and Self-Organizing Maps. NMRBiomed. 11 (1998) 168–176
Kaartinen, J., Mierisova, S., Oja, J. M., Usenius, J.-P., Kauppinen, R. A., Hiltunen, Y.: Automated quantification of human brain metabolites by artificial neural network analysis from in vivo single-voxel 1H NMR spectra, J. Magn. Reson. 134 (1998) 176–179
Hiltunen, Y., Kaartinen, J., Pulkkinen, J., Häkkinen, A.M., Lundbom, N., Kauppinen, R.: Quantification of Human Brain Metabolites from In vivo 1H NMR Magnitude Spectra Using Automated Artificial Neural Network Analysis. J. Magn. Reson. 154 (2002), 1–5
Soher, B. J., Young, K., Govindaraju, V., Maudsley, A. A..: Automated spectral analysis. III. Application to in vivo proton MR spectroscopy and spectroscopic. Magn. Reson. Med. 40 (1998) 822–831
Zang, X., Heberlein, K., Sarkar, S., Hu, X.: A multiscale approach for analyzing in vivo spectroscopic imaging data. Magn. Reson. Med. 43 (2000) 331–334
Kohonen, T.: Self-organizing Maps; Springer-Verlag, Berlin Heidelberg New York, (2001)
Pijnappel, W.W.F., van den Boogaart, A., de Beer, R., van Ormondt, D.: SVD-based quantification of magnetic resonance signals, J. Magn. Reson. 97 (1992) 122–134
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pulkkinen, J., Lappalainen, M., Häkkinen, AM., Lundbom, N., Kauppinen, R.A., Hiltunen, Y. (2002). Application of Self-Organising Maps in Automated Chemical Shift Correction of In Vivo 1H MR Spectra. In: Yin, H., Allinson, N., Freeman, R., Keane, J., Hubbard, S. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2002. IDEAL 2002. Lecture Notes in Computer Science, vol 2412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45675-9_63
Download citation
DOI: https://doi.org/10.1007/3-540-45675-9_63
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44025-3
Online ISBN: 978-3-540-45675-9
eBook Packages: Springer Book Archive