Detail publikačního výsledku

Signal denoising in MR tomography using wavelet

GESCHEIDTOVÁ, E., BARTUŠEK, K., KUBÁSEK, R.

Originální název

Signal denoising in MR tomography using wavelet

Anglický název

Signal denoising in MR tomography using wavelet

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova v angličtině

NMR,FID signal, wavelet transformation, filter bank, tresholding

Autoři

GESCHEIDTOVÁ, E., BARTUŠEK, K., KUBÁSEK, R.

Vydáno

28.03.2004

Nakladatel

University of Pisa

Místo

Pisa

ISBN

88-8492-268-2

Kniha

Progress in Electromagnetics Research Symposium

Strany od

1

Strany počet

4

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"
}