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.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:MWU.1993/3972 |
| Date | 12 April 2010 |
| Creators | Fu, Yao |
| Contributors | Thomas, Gabriel (Electrical and Computer Engineering) Serrai, Hacene (Electrical and Computer Engineering) Fazel, Reza (Electrical and Computer Engineering), Major, Arkady (Electrical and Computer Engineering) Malisza, Krisztina (National Research Council) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | en_US |
| Detected Language | English |
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