Magnetic resonance spectroscopy is now in widespread use, which with various
tools of spectra analysis can provide concentrations of metabolites. The influence of
metabolites on human physiology is greatly. Due to the tiny variation of the
concentration in various metabolites, the analytic method used in the quantitative
determination of the absolute concentrations of metabolites plays an important role in
this research area.
In this thesis we present an analysis tool for segmentation of white matter, gray
matte and cerebrospinal fluid using region growing with spatial space, and provide
manual interaction for exception handling in this subject. Then we use this tool to
analyze different percentages of white matter and gray matter with the default
parameter by LCModel and correct partial volume effect. The results show that the
proposed tool can improve significantly the accuracy in absolute quantitative analysis
of concentration.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0320108-113630 |
| Date | 20 March 2008 |
| Creators | Dong, Shih-Shan |
| Contributors | Chung-Nan Lee, Cheng-Wen Ko, Yi-Ru Lin, Ping-Hong Lai |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0320108-113630 |
| Rights | off_campus_withheld, Copyright information available at source archive |
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