Publication detail

Optimization of wavelet-based de-noising in MRI

BARTUŠEK, K. SMÉKAL, Z. PŘINOSIL, J.

Original Title

Optimization of wavelet-based de-noising in MRI

English Title

Optimization of wavelet-based de-noising in MRI

Type

journal article in Web of Science

Language

en

Original Abstract

In the paper, a method for MR image enhancement using the wavelet analysis is described. The wavelet analysis is concentrated on the influence of threshold level and mother wavelet choices on the resultant MR image. The influence is expressed by the measurement and mutual comparison of three MT image parameters: signal to noise ratio, image contrast, and linear slope edge approximation. Unlike most standard methods working exclusively with the MR image magnitude, in our case both the MR image magnitude and the MR image phase were used in the enhancement process. Some recommendations are mentioned in conclusion, such as how to use a combination of mother wavelets with threshold levels for various types of MR images.

English abstract

In the paper, a method for MR image enhancement using the wavelet analysis is described. The wavelet analysis is concentrated on the influence of threshold level and mother wavelet choices on the resultant MR image. The influence is expressed by the measurement and mutual comparison of three MT image parameters: signal to noise ratio, image contrast, and linear slope edge approximation. Unlike most standard methods working exclusively with the MR image magnitude, in our case both the MR image magnitude and the MR image phase were used in the enhancement process. Some recommendations are mentioned in conclusion, such as how to use a combination of mother wavelets with threshold levels for various types of MR images.

Keywords

Wavelet transformation, filtering technique, magne-tic resonance imaging.

RIV year

2011

Released

06.04.2011

Pages from

85

Pages to

93

Pages count

9

BibTex


@article{BUT43413,
  author="Karel {Bartušek} and Zdeněk {Smékal} and Jiří {Přinosil}",
  title="Optimization of wavelet-based de-noising in MRI",
  annote="In the paper, a method for MR image enhancement using the wavelet analysis is described. The wavelet analysis is concentrated on the influence of threshold level and mother wavelet choices on the resultant MR image. The influence is expressed by the measurement and mutual comparison of three MT image parameters: signal to noise ratio, image contrast, and linear slope edge approximation. Unlike most standard methods working exclusively with the MR image magnitude, in our case both the MR image magnitude and the MR image phase were used in the enhancement process. Some recommendations are mentioned in conclusion, such as how to use a combination of mother wavelets with threshold levels for various types of MR images.",
  chapter="43413",
  number="1",
  volume="20",
  year="2011",
  month="april",
  pages="85--93",
  type="journal article in Web of Science"
}