Signal correction in magnetic resonance spectroscopy

Author

Boskamp, Tobias ; Singer, Peter

Author_Institution

Center for Complex Syst. & Visualization, Bremen Univ., Germany

fYear

1998

Firstpage

261

Lastpage

264

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/TFSA.1998.721411

Filename

721411