Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.860165
