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Wavelet-based de-noising techniques in MRI
- 1.0367300 - ÚPT 2012 RIV IE eng J - Journal Article
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. E-ISSN 1872-7565
R&D Projects: GA MŠMT ED0017/01/01; GA ČR GAP102/11/0318
Institutional research plan: CEZ:AV0Z20650511
Keywords : wavelet transformation * filtering technique * magnetic resonance imaging
Subject RIV: JA - Electronics ; Optoelectronics, Electrical Engineering
Impact factor: 1.516, year: 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.
Permanent Link: http://hdl.handle.net/11104/0202036
Number of the records: 1