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GESCHEIDTOVÁ, E., BARTUŠEK, K., KUBÁSEK, R.
Original Title
Signal denoising in MR tomography using wavelet
Type
conference paper
Language
English
Original Abstract
The wavelet transformation is the modern method for signal processing in many technical branches. One of them is the removal of noise from a useful signal. This article is focused on removing noise from the signal scanned in a nuclear magnetic resonance tomograph. The method of sub-band thresholding utilizing wavelet transformation is analysed. This method is applied in dual filtering of Free Induction Decay (FID) signal and Instantaneous Frequency (IF) signal. Marked noise suppression is reached, a higher quality of instantaneous frequency signal is obtained and so the magnetic field in tomograph can be measured to a greater accuracy.
Key words in English
NMR,FID signal, wavelet transformation, filter bank, tresholding
Authors
RIV year
2004
Released
28. 3. 2004
Publisher
University of Pisa
Location
Pisa
ISBN
88-8492-268-2
Book
Progress in Electromagnetics Research Symposium
Pages from
1
Pages to
4
Pages count
BibTex
@inproceedings{BUT13248, author="Eva {Gescheidtová} and Karel {Bartušek} and Radek {Kubásek}", title="Signal denoising in MR tomography using wavelet", booktitle="Progress in Electromagnetics Research Symposium", year="2004", pages="4", publisher="University of Pisa", address="Pisa", isbn="88-8492-268-2" }