Title :
Signal correction in magnetic resonance spectroscopy
Author :
Boskamp, Tobias ; Singer, Peter
Author_Institution :
Center for Complex Syst. & Visualization, Bremen Univ., Germany
Abstract :
Two methods of adaptive, non-linear filtering in Fourier- and wavelet-space are presented and applied to the correction of baseline and phase distortion of magnetic resonance spectroscopic signals. Both methods consist of estimating the model parameters describing the signal and constructing a multiplicative filter based on these estimations. While the Fourier filter method can be used for baseline correction only, the wavelet-based method is able to perform both baseline and phase correction in a single step
Keywords :
Fourier analysis; NMR spectroscopy; adaptive filters; adaptive signal processing; filtering theory; nonlinear filters; parameter estimation; signal reconstruction; time-frequency analysis; wavelet transforms; Fourier filter method; Fourier-space; NMR spectra; adaptive nonlinear filtering; baseline correction; magnetic resonance spectroscopy; model parameter estimation; multiplicative filter; partial wavelet reconstruction; phase distortion correction; signal correction; time-frequency filters; wavelet-based method; wavelet-space; Biomedical imaging; Filtering; Filters; Magnetic resonance; Magnetic resonance imaging; Magnetic separation; Mathematical model; Nuclear magnetic resonance; Phase distortion; Spectroscopy;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-7803-5073-1
DOI :
10.1109/TFSA.1998.721411
