Abstract
Magnetic resonance spectroscopy is currently used in chemistry and medicine as a diagnostic tool. Due to many imperfections that are present during measurement the signal has to be corrected by so called preprocessing methods or techniques. Some of them are performed by a scanner, but it is still necessary to improve the quality of the numerical signal. This paper presents a description of the most important preprocessing techniques which are applied by most current software and is an extension of the most currently reviews presented on this topic.
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Acknowledgments
This work has been supported by: projects for Young Scientist on Institute of Informatics BKM515/2014/9, BKM515/2015/9 (MS) and partly by infrastructure of POIG.02.03.01- 24-099/13 grant: GCONiI—Upper-Silesian Center for Scientific Computation (AP).
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Staniszewski, M., Skorupa, A., Boguszewicz, L., Sokol, M., Polanski, A. (2016). Preprocessing Methods in Nuclear Magnetic Resonance Spectroscopy. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_28
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DOI: https://doi.org/10.1007/978-3-319-39796-2_28
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