Diffusion tensor and functional magnetic resonance imaging as indicators of disease severity in multiple sclerosis: reproducibility and correlational studies
dc.contributor.advisor | Goodyear, Bradley | |
dc.contributor.author | Lau, Raymond Wai-Meng | |
dc.date.accessioned | 2017-12-18T21:12:20Z | |
dc.date.available | 2017-12-18T21:12:20Z | |
dc.date.issued | 2006 | |
dc.description | Bibliography: p. 81-98 | en |
dc.description | Some pages are in colour. | en |
dc.format.extent | xiii, 98 leaves : ill. ; 30 cm. | en |
dc.identifier.citation | Lau, R. W. (2006). Diffusion tensor and functional magnetic resonance imaging as indicators of disease severity in multiple sclerosis: reproducibility and correlational studies (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/630 | en_US |
dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/630 | |
dc.identifier.uri | http://hdl.handle.net/1880/101631 | |
dc.language.iso | eng | |
dc.publisher.institution | University of Calgary | en |
dc.publisher.place | Calgary | en |
dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
dc.title | Diffusion tensor and functional magnetic resonance imaging as indicators of disease severity in multiple sclerosis: reproducibility and correlational studies | |
dc.type | master thesis | |
thesis.degree.discipline | Medical Science | |
thesis.degree.grantor | University of Calgary | |
thesis.degree.name | Master of Science (MSc) | |
ucalgary.thesis.accession | Theses Collection 58.002:Box 1658 520492175 | |
ucalgary.thesis.notes | UARC | en |
ucalgary.thesis.uarcrelease | y | en |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- ucalgary_2006_lau_raymond wai-meng_527654.pdf
- Size:
- 18.14 MB
- Format:
- Adobe Portable Document Format
- Description:
- Thesis