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???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
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dc.contributor.advisor | 鍾孝文 | |
dc.contributor.author | Chun-Jen Huang | en |
dc.contributor.author | 黃俊仁 | zh_TW |
dc.date.accessioned | 2021-06-15T02:34:21Z | - |
dc.date.available | 2009-08-20 | |
dc.date.copyright | 2009-08-20 | |
dc.date.issued | 2009 | |
dc.date.submitted | 2009-08-13 | |
dc.identifier.citation | [1]. Bottomley, P.A., Spatial localization in NMR spectroscopy in vivo. Annals of the New York Academy of Sciences, 1987. 508: p. 333-348.
[2]. Provencher, S.W., Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magnetic Resonance in Medicine, 1993. 30(6): p. 672-679. [3]. Zhu, X.H. and W. Chen, Observed BOLD effects on cerebral metabolite resonances in human visual cortex during visual stimulation: A functional 1H MRS study at 4 T. Magnetic Resonance in Medicine, 2001. 46(5): p. 841-847. [4]. Richards, T.L., et al., Functional MR spectroscopy of the auditory cortex in healthy subjects and patients with sudden hearing loss. American Journal of Neuroradiology, 1997. 18(4): p. 611-620. [5]. Baslow, M.H., J. Hrabe, and D.N. Guilfoyle, Dynamic relationship between neurostimulation and N-acetylaspartate metabolism in the human visual cortex. Journal of Molecular Neuroscience, 2007. 32(3): p. 235-245. [6]. Mangia, S., et al., Sustained neuronal activation raises oxidative metabolism to a new steady-state level: evidence from 1H NMR spectroscopy in the human visual cortex. Journal of Cerebral Blood Flow and Metabolism, 2007. 27(5): p. 1055-1063. [7]. Shih, Y.Y., et al., Vitamin C estimation with standard 1H spectroscopy using a clinical 3T MR system: Detectability and reliability within the human brain. Journal of Magnetic Resonance Imaging, 2008. 28(2): p. 351-358. [8]. Mangia, S., et al., Sensitivity of single-voxel 1H-MRS in investigating the metabolism of the activated human visual cortex at 7 T. Magnetic Resonance Imaging, 2006. 24(4): p. 343-348. [9]. Shih, Y.Y., et al., INS-PRESS for functional MRS: simultaneous with- and without-water suppression spectral acquisition on visual cortex of human brains at 3T. Proceedings of the ISMRM 17th Annual Meeting, Honolulu, 2009. [10]. Thiel, T., et al., Phase coherent averaging in magnetic resonance Spectroscopy using interleaved navigator scans: Compensation of motion artifacts and magnetic field instabilities. Magnetic Resonance in Medicine, 2002. 47(6): p. 1077-1082. [11]. Provencher, S.W., LCModel & LCMgui User's Manual. 2009. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/43963 | - |
dc.description.abstract | 核磁共振頻譜可以非侵入式的方式提供人體內化學物質的資訊。將它和功能性磁振造影的觀念結合後,功能性磁振頻譜已經成為研究神經生理學時一項有力的工具。然而,已有報告指出譜線的特性會受到血氧程度相關效應的影響,而這對於代謝物濃度定量所造成的影響尚未被完整地評估。但在功能性詞振頻譜的研究中,研究者感興趣的就是濃度的微小改變,因此這個影響可能是很關鍵性的。在這個研究中,我們模擬了13個頻譜裡肌酸、膽鹼與N-acetyl-L-aspartic acid的微小濃度改變,以評估線性疊加模型軟體(一個磁振頻譜定量軟體)的靈敏度與穩定度。此外,我們模擬了可能因為血氧程度相關效應所造成的線寬改變,以檢驗定量結果是否會受到影響。我們的結果顯示,三種代謝物在濃度改變超過±0.8%即可被偵測到,但對於肌酸和膽鹼,真實的濃度改變可能會被高估。此外,在高信雜比的條件下,線寬造成三種代謝物一致的濃度改變,但在有雜訊的情況下,各頻譜間的濃度改變有很大的差異。我們的結論是,線性疊加模型軟體對於微小的濃度改變敏感,但需要發展一個校正的流程以消除偽濃度改變量。 | zh_TW |
dc.description.abstract | Magnetic resonance spectroscopy (MRS) can be used to provide chemical information within human body noninvasively. Combining it with the concept of functional magnetic resonance in imaging (fMRI), functional magnetic resonance spectroscopy (fMRS) has become a powerful tool to investigate neural physiology. However, it has been reported that spectral line properties can be affect by blood-oxygenation-level-dependent (BOLD) effect, and the resultant impact on metabolite quantification has not yet been thoroughly evaluated. But this impact could be critical since in fMRS studies, the tiny changes of the concentrations are of interest. In this study, we simulated tiny concentration changes of creatine, choline, and N-acetyl-L-aspartic acid of 13 spectra to evaluate the sensitivity and reliability of LCModel (MRS quantification software). In addition, we simulated linewidth alterations that could result from BOLD effect, to examine whether the quantification result will be affected or not. Our result shows that concentration changes exceeding ±0.8% could be detectable for the three metabolites, but the actual concentration change may be over-estimated when quantifying creatine and choline. Besides, linewidth alterations result in consistent concentration changes for the three metabolites under the condition of high SNR. But in the presence of noise, results of concentration changes shows large variations among spectra. We conclude that LCModel is sensitive to tiny concentration changes, but it would be necessary to develop a calibration procedure to eliminate pseudo concentration changes. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T02:34:21Z (GMT). No. of bitstreams: 1 ntu-98-R96945007-1.pdf: 2062023 bytes, checksum: 8b0479362cd2a3e0c83a86d70e2ca431 (MD5) Previous issue date: 2009 | en |
dc.description.tableofcontents | Chapter 1 Introduction to Proton Magnetic Resonance Spectroscopy
1.1 Background......................................................1 1.2 Quantification Method...........................................1 1.3 From conventional MRS to Functional MRS.........................4 1.4 Motives.........................................................5 Chapter 2 Materials and Methods 2.1 MRS Data........................................................7 2.2 LCModel Basis...................................................9 2.3 LCModel Settings................................................9 2.4 Simulation of the In Vivo Spectrum.............................12 2.5 Virtual Titration..............................................17 2.6 Statistical Analysis...........................................19 Chapter 3 Results 3.1 Virtual Titration: Concentration Change and Estimation Error...21 3.2 Virtual Titration: Linewidth Alteration........................29 3.3 The “Noise”..................................................33 Chapter 4 Discussions and Conclusions 4.1 Concentration Change...........................................35 4.2 Linewidth Alteration...........................................36 4.3 On Simulation Procedure........................................37 4.4 Some Notes for Functional MRS Studies..........................38 4.5 Conclusion.....................................................39 References.........................................................40 | |
dc.language.iso | en | |
dc.title | 以虛擬滴定評估功能性磁振頻譜之靈敏度與穩定度 | zh_TW |
dc.title | Evaluation of Sensitivity and Reliability of Functional
MR Spectroscopy Using Virtual Titration | en |
dc.type | Thesis | |
dc.date.schoolyear | 97-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 劉益瑞,柯正雯,林益如,蔡尚岳 | |
dc.subject.keyword | 功能性磁振頻譜,定量靈敏度與穩定度,線性疊加模型, | zh_TW |
dc.subject.keyword | functional MRS,quantification sensitivity and reliability,LCModel, | en |
dc.relation.page | 41 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2009-08-14 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
Appears in Collections: | 生醫電子與資訊學研究所 |
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ntu-98-1.pdf Restricted Access | 2.01 MB | Adobe PDF |
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