Proton magnetic resonance spectroscopy has been widely applied to the diagnosis of brain diseases. In the meanwhile, the classification of brain abscesses plays an important role on the accurate prognosis in clinics. Recently, the interest in using
proton MRS to classify pyogenic brain abscesses has been arising because of its non-invasive property and good accuracy in detecting metabolites.
The brain abscess can be classified by means of the metabolites observed in the MR spectra, which may thus benefit the accuracy of the brain abscess diagnosis clinically.
However, the interpretation of MR spectra by experienced radiologists can be also very subjective and therefore results in the variation of diagnosis. In this study, we investigate the potential possibility of using Principal Component Analysis (PCA) to classify the short TE MR spectra in more objective way.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0706111-234840 |
| Date | 06 July 2011 |
| Creators | Lu, Ssu-Ying |
| Contributors | Shang-Yueh Tsai, Ping-Hong Lai, Ming-Long Wu, Cheng-Wen Ko, Tzu-Chao Chuang |
| 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-0706111-234840 |
| Rights | campus_withheld, Copyright information available at source archive |
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