Wiener filter methods for baseline correction of magnetic resonance spectra

Author

Boskamp, Tobias ; Singer, Peter

Author_Institution

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

Volume

6

fYear

2000

fDate

2000

Firstpage

3538

Abstract

The problem of correcting the baseline distortion of signals measured in magnetic resonance spectroscopy is investigated in the context of Wiener filter theory. Based on the estimation of model parameters describing the spectrum, a method is proposed that estimates the correlation operators of the net signal and the baseline distortion. These operators are used to construct a Wiener filter for the measured spectrum. Results of numerical simulations that compare the proposed method with other methods are given

Keywords

Wiener filters; biomedical MRI; filtering theory; magnetic resonance spectroscopy; medical image processing; parameter estimation; Hilbert spaces; Wiener filter methods; Wiener filter theory; a-posteriori correlation estimation; baseline correction filter; baseline distortion; correlation operators; magnetic resonance spectra; measured spectrum; medical imaging; model parameters estimation; net signal; numerical simulations; signal distortion correction; stochastic processes; Damping; Distortion measurement; Hilbert space; Magnetic resonance; Numerical simulation; Phase distortion; Spectroscopy; Stochastic processes; Visualization; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.860165

Filename

860165