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Wavelet based noise reduction of four-dimensional data with application to MRI
SLU, Centre of Biostochastics.
Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF). Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
2012 (English)Report (Other academic)
Abstract [en]

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.
Series
Research Report, Centre of Biostochastics, ISSN 1651-8543 ; 2012-1
Keyword [en]
Noise reduction, wavelet shrinkage, 4-D MRI data, Gaussian scale mixtures.
National Category
Probability Theory and Statistics
Research subject
Mathematical Statistics; Biomedical Radiation Science
Identifiers
URN: urn:nbn:se:umu:diva-63718OAI: oai:DiVA.org:umu-63718DiVA: diva2:582466
Available from: 2013-01-04 Created: 2013-01-04 Last updated: 2013-06-13Bibliographically approved

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No full text

Other links

http://biostochastics.slu.se/publikationer/dokument/Report2012011.pdf

Authority records BETA

Yu, JunÖstlund, Nils

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CiteExportLink to record
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Citation style
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Output format
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  • asciidoc
  • rtf