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Wavelet-based de-noising techniques in MRI
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SYSNO ASEP 0367300 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Wavelet-based de-noising techniques in MRI Author(s) Bartušek, Karel (UPT-D) RID, ORCID, SAI
Přinosil, J. (CZ)
Smékal, Z. (CZ)Number of authors 3 Source Title Computer Methods and Programs in Biomedicine. - : Elsevier - ISSN 0169-2607
Roč. 104, č. 3 (2011), s. 480-488Number of pages 9 s. Language eng - English Country IE - Ireland Keywords wavelet transformation ; filtering technique ; magnetic resonance imaging Subject RIV JA - Electronics ; Optoelectronics, Electrical Engineering R&D Projects ED0017/01/01 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GAP102/11/0318 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z20650511 - UPT-D (2005-2011) UT WOS 000297832500019 EID SCOPUS 78149363774 DOI 10.1016/j.cmpb.2011.08.008 Annotation 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. Workplace Institute of Scientific Instruments Contact Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Year of Publishing 2012
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