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Optimization of Wavelet-Based De-noising in MRI
- 1.0366897 - ÚPT 2012 RIV CZ eng J - Journal Article
Bartušek, Karel - Přinosil, J. - Smékal, Z.
Optimization of Wavelet-Based De-noising in MRI.
Radioengineering. Roč. 20, č. 1 (2011), s. 85-93. ISSN 1210-2512
R&D Projects: GA ČR GA102/09/0314
Institutional research plan: CEZ:AV0Z20650511
Keywords : wavelet transformation * filtering technique * magnetic resonance imaging
Subject RIV: JA - Electronics ; Optoelectronics, Electrical Engineering
Impact factor: 0.739, year: 2011
In the paper, a method for MR image enhancement using the wavelet analysis is described. The wavelet analysis is concentrated on the influence of threshold level and mother wavelet choices on the resultant MR image. The influence is expressed by the measurement and mutual comparison of three MT image parameters: signal to noise ratio, image contrast, and linear slope edge approximation. Unlike most standard methods working exclusively with the MR image magnitude, in our case both the MR image magnitude and the MR image phase were used in the enhancement process. Some recommendations are mentioned in conclusion, such as how to use a combination of mother wavelets with threshold levels for various types of MR images.
Permanent Link: http://hdl.handle.net/11104/0201730
Number of the records: 1