Publication detail

Criteria for wavelet selection in MR image filtering

GESCHEIDTOVÁ, E. BARTUŠEK, K.

Original Title

Criteria for wavelet selection in MR image filtering

Type

conference paper

Language

English

Original Abstract

Magnetic resonance is made use of in particular as a diagnostic imaging method. To be able to reliably establish a diagnosis, the doctors must have at their disposal images of selected parts of human organs that are of sufficient quality, with no details missing. The detected images are frequently of very low contrast and resolution. Similar to MR signals, the images are degraded by noise, the level of which depends, among other things, on the level of the signal being detected, local proton density, voxel size, bandwidth, system design, quality of the RF coil, and the detection parameters. The introduction of wavelet transform provided an efficient tool for processing not only MR signals but also MR images. For a successful processing of images it is important to select from the many currently used types of wavelet. An inappropriate choice of the wavelet can lead to the loss of important information contained in the image or, on the contrary, filtering can be less efficient. In the paper the selection criteria are described and their importance in the selection of wavelets suitable for MR image processing is evaluated.

Keywords

MRI, wavelet.,SNR, contrast, signal intenzity

Authors

GESCHEIDTOVÁ, E.; BARTUŠEK, K.

RIV year

2010

Released

22. 3. 2010

Publisher

The Electromagnetic Academy

Location

Xian, Čína

ISBN

978-1-934142-12-7

Book

PIERS 2010 Xian

Pages from

1569

Pages to

1572

Pages count

4

BibTex

@inproceedings{BUT30068,
  author="Eva {Gescheidtová} and Karel {Bartušek}",
  title="Criteria for wavelet selection in MR image filtering",
  booktitle="PIERS 2010 Xian",
  year="2010",
  pages="1569--1572",
  publisher="The Electromagnetic Academy",
  address="Xian, Čína",
  isbn="978-1-934142-12-7"
}