Počet záznamů: 1
Wavelet-based de-noising techniques in MRI
0367300 - UPT-D 2012 RIV IE eng J - Článek v odborném periodiku
Bartušek, Karel - Přinosil, J. - Smékal, Z.
Wavelet-based de-noising techniques in MRI.
Computer Methods and Programs in Biomedicine. Roč. 104, č. 3 (2011), s. 480-488 ISSN 0169-2607
Grant CEP: GA MŠk ED0017/01/01; GA ČR GAP102/11/0318
Výzkumný záměr: CEZ:AV0Z20650511
Klíčová slova: wavelet transformation * filtering technique * magnetic resonance imaging
Kód oboru RIV: JA - Elektronika a optoelektronika, elektrotechnika
Impakt faktor: 1.516, rok: 2011
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.
Trvalý link: http://hdl.handle.net/11104/0202036