Publication result detail

Signal denoising in MR tomography using wavelet

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

Original Title

Signal denoising in MR tomography using wavelet

English Title

Signal denoising in MR tomography using wavelet

Type

Paper in proceedings (conference paper)

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.

English 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

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

Released

28.03.2004

Publisher

University of Pisa

Location

Pisa

ISBN

88-8492-268-2

Book

Progress in Electromagnetics Research Symposium

Pages from

1

Pages count

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"
}