Publication detail

Choice of suitable wavelets for MR image processing

BARTUŠEK, K. GESCHEIDTOVÁ, E.

Original Title

Choice of suitable wavelets for MR image processing

Type

conference paper

Language

English

Original Abstract

Magnetic nuclear resonance is used in particular as a diagnostic imaging method. Images of selected parts of organs must be of sufficient quality for doctors to be able to not miss any details and to make reliable diagnoses. The detected images are often of low contrast and resolution. They are mainly subjected to noise, whose level depends, among other things, on the level of the signal being detected, local proton density, voxel size, bandwidth, system design, quality of RF coil, and detection parameters [1], [2], [3]. Noise is in the same frequency band as the image spectral components that carry the details. Suppressing noise without knowing its properties must be a compromise between the desired smoothing and improvement of signal to-noise-ratio (SNR) on the one hand and the loss of details on the other hand. If the filtering method is applied in order to remove noise from MR images, a correct choice of individual filtering parameters is important. In the paper, the selection is described of wavelets suitable for improving the quality of MR images of temporomandibular joint [4] and their evaluation according to three criteria: increased SNR, steepness of the change in signal intensity in the image, and the change in contrast.

Keywords

SNR, MR imaging, wavelets,

Authors

BARTUŠEK, K.; GESCHEIDTOVÁ, E.

RIV year

2010

Released

22. 3. 2010

Publisher

Tne Electromagnetic Academy

Location

Xian, Čína

ISBN

978-1-934142-12-7

Book

PIERS 2010 Xian

Pages from

1565

Pages to

1568

Pages count

4

BibTex

@inproceedings{BUT30069,
  author="Karel {Bartušek} and Eva {Gescheidtová}",
  title="Choice of suitable wavelets for MR image processing",
  booktitle="PIERS 2010 Xian",
  year="2010",
  pages="1565--1568",
  publisher="Tne Electromagnetic Academy",
  address="Xian, Čína",
  isbn="978-1-934142-12-7"
}