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dc.contributor.supervisor Thomas, Gabriel (Electrical and Computer Engineering) Serrai, Hacene (Electrical and Computer Engineering) Fazel, Reza (Electrical and Computer Engineering) en
dc.contributor.author Fu, Yao
dc.date.accessioned 2010-04-12T14:05:55Z
dc.date.available 2010-04-12T14:05:55Z
dc.date.issued 2010-04-12T14:05:55Z
dc.identifier.uri http://hdl.handle.net/1993/3972
dc.description.abstract A 3D wavelet based encoding spectroscopic method (WE-SI) is investigated and implemented on a 3 Tesla Siemens Scanner. Compared to CSI, the proposed method is able to reduce acquisition time, and preserves the spatial metabolite distribution. As expected, a decrease in Signal to Noise Ratio (SNR) is noticed in WE-SI data compared to CSI. The dissertation explores important physical principles in MRI and spectroscopic imaging as a background, following by introduction of the wavelet encoding theory and comparison to Fourier encoding. en
dc.format.extent 1859246 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject Magnetic Resonance Spectroscopic Imaging en
dc.subject wavelet en
dc.title Implementation of Wavelet Encoding Spectroscopic Imaging Technique on a 3 Tesla Whole Body MR Scanner en
dc.type info:eu-repo/semantics/masterThesis
dc.type master thesis en_US
dc.degree.discipline Electrical and Computer Engineering en
dc.contributor.examiningcommittee Major, Arkady (Electrical and Computer Engineering) Malisza, Krisztina (National Research Council) en
dc.degree.level Master of Science (M.Sc.) en
dc.description.note May 2010 en


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