Conventional magnetic resonance (MR) imaging has been widely applied to clinical analysis
studies due to its non-invasive property. Proton MR spectroscopy complements conventional
MR imaging by enabling better lesion characterization. Thus, proton MR spectroscopy
is used to assist in the differential diagnosis of intracranial pathologies. LCModel
is a reliable and user-friendly post-processing tool which is used to analyse absolute concentrations
in our thesis.
Our phantom are solution of alanine (Ala), cytosolic amino acids (AAs), lactate (Lac), and
n-acetyl aspartate (NAA) in a spherical flasks of glass. We used three basis sets with difference
echo time (TE) to experiment. We also performed a retrospective study of subjects
with brain abscesses referred during a span of 10 years. All subjects underwent conventional
MR imaging and in vivo proton MR spectroscopy, and subjects are classified four
groups according to the spectrum characteristics described in the literatures.
In this thesis, phantom experiments as well as GAVA simulation are included for the basis
sets comparison. Then, abscesses subjects are analyzed by LCModel using these basis
sets and compared with clinical diagnosis. Our result shows that using GAVA simulation
as the basis sets may provide better consistency among all metabolites and thus achieve
more reliable quantification of magnetic resonance spectroscopy.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0706111-224200 |
| Date | 06 July 2011 |
| Creators | Lee, Shu-Yi |
| Contributors | Cheng-Wen Ko, Ming-Long Wu, Shang-Yueh Tsai, Ping-Hong Lai, 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-0706111-224200 |
| Rights | campus_withheld, Copyright information available at source archive |
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