Wavelet based noise reduction of four-dimensional data with application to MRI
2012 (English)Report (Other academic)
This paper is devoted to the development of noise reduction methods for spatial-temporal signals with applications in magnetic resonance imaging. A noise reduction algorithm for 4D MRI signals, based on thewavelet transform and Gaussian scale mixtures, is proposed here. Simulation study shows that the new method is capable to improve theperformance of noise reduction in higher dimensions.
Place, publisher, year, edition, pages
2012. , 15 p.
, Research Report, Centre of Biostochastics, ISSN 1651-8543 ; 2012-1
Noise reduction, wavelet shrinkage, 4-D MRI data, Gaussian scale mixtures.
Probability Theory and Statistics
Research subject Mathematical Statistics; Biomedical Radiation Science
IdentifiersURN: urn:nbn:se:umu:diva-63718OAI: oai:DiVA.org:umu-63718DiVA: diva2:582466