Publication detail

Wavelet-based de-noising techniques in MRI

BARTUŠEK, K. PŘINOSIL, J. SMÉKAL, Z.

Original Title

Wavelet-based de-noising techniques in MRI

English Title

Wavelet-based de-noising techniques in MRI

Type

journal article - other

Language

en

Original Abstract

The paper deals with techniques for the enhancement of magnetic resonance (MR) images using the wavelet analysis, which is assessed from the viewpoint of choosing the mother wavelet and the thresholding technique. Three parameters are used as objective criteria of the quality of image enhancement: the signal-to-noise ratio (SNR), image contrast, and linear approximation of edge steepness. Unlike most of the standard methods, which work exclusively with image magnitude, we also examined the influence of image phase, i.e. the image is processed as a complex signal. In addition to the interpretation of results, a short summary is given that deals with the choice of the optimal mother wavelet and thresholding technique for different types of MR images.

English abstract

The paper deals with techniques for the enhancement of magnetic resonance (MR) images using the wavelet analysis, which is assessed from the viewpoint of choosing the mother wavelet and the thresholding technique. Three parameters are used as objective criteria of the quality of image enhancement: the signal-to-noise ratio (SNR), image contrast, and linear approximation of edge steepness. Unlike most of the standard methods, which work exclusively with image magnitude, we also examined the influence of image phase, i.e. the image is processed as a complex signal. In addition to the interpretation of results, a short summary is given that deals with the choice of the optimal mother wavelet and thresholding technique for different types of MR images.

Keywords

de-noising, Wavelet,analyze, MRI

RIV year

2011

Released

07.11.2011

Publisher

Elsevier

Location

Ireland

Pages from

480

Pages to

488

Pages count

8

BibTex


@article{BUT74456,
  author="Karel {Bartušek} and Jiří {Přinosil} and Zdeněk {Smékal}",
  title="Wavelet-based de-noising techniques in MRI",
  annote="The paper deals with techniques for the enhancement of magnetic resonance (MR) images using the wavelet analysis, which is assessed from the viewpoint of choosing the mother wavelet and the thresholding technique. Three parameters are used as objective criteria of the quality of image enhancement: the signal-to-noise ratio (SNR), image contrast, and linear approximation of edge steepness. Unlike most of the standard methods, which work exclusively with image magnitude, we also examined the influence of image phase, i.e. the image is processed as a complex signal. In addition to the interpretation of results, a short summary is given that deals with the choice of the optimal mother wavelet and thresholding technique for different types of MR images.",
  address="Elsevier",
  chapter="74456",
  institution="Elsevier",
  journal="COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE",
  number="3",
  volume="104",
  year="2011",
  month="november",
  pages="480--488",
  publisher="Elsevier",
  type="journal article - other"
}