鍾孝文臺灣大學:電機工程學研究所施逸優Shih, Yi-YuYi-YuShih2010-07-012018-07-062010-07-012018-07-062009U0001-0704200916493800http://ntur.lib.ntu.edu.tw//handle/246246/188022磁共振頻譜在臨床上的應用已有多年的進展，尤其在腦部研究上，更是經常被拿來作為疾病的診斷。雖然維他命C在中樞神經系統中扮演相當重要的角色，但在臨床上的磁振頻譜分析中卻從未有更進一步的討論。在這篇論文中，我們使用臨床上經常使用的磁振頻譜脈衝序列，單點像素解析頻譜，搭配線性疊加模型分析軟體，驗證分析得到的維他命C濃度是否值得信賴。在收集的76筆腦部頻譜資料中，極大多數都可以成功偵測到維他命C的存在。另外我們模擬不同濃度的維他命C頻譜加入三筆不同譜線寬的臨床資料中，發現模擬加入的濃度與分析得到的濃度呈現相當好的線性關係 (R2 > 0.985)。因此認為，利用一般臨床的掃描程序搭配線性疊加模型分析軟體即可穩定偵測維他命C，並且在一般臨床的頻譜分析中應該加入維他命C的分析基底，減低對其他代謝物定量的誤差。Magnetic resonance spectroscopy (MRS) has been used in clinical applications, especially in brains, for many years. Even though vitamin C plays an important role in central nervous system, its analysis was not included in traditional MRS studies. To evaluate whether vitamin C is detectable, we used a clinical routine MRS sequence, point-resolved spectroscopy (PRESS), combined LCModel analysis, and verified the reliability of its estimated concentration. Seventy-six in vivo single voxel spectra were analyzed and vitamin C could be successfully detected from most of them. Furthermore, we simulated multiple concentration levels by adding adapted ascorbate spectra to the in vivo data, and the results showed very good linearity (R2 > 0.985) between the added ascorbate concentrations and the LCModel estimated concentrations at three different linewidth cases. This dissertation demonstrates the ability to detect vitamin C in the human brain under common clinical MRS standards in combination with LCModel. Besides, it also supports the necessity to include ascorbate in the standard MRS analysis.Chapter 1 Introduction to MRS .1 Background………………………………………………… 1.2 Theory and Data Acquisition…………………………… 5.3 Three-Dimensional Localization Techniques…………… 11.4 Improvements of Localization Techniques……………… 15 hapter 2 Vitamin C: Function and Detection .1 Background of Vitamin C…………………………………… 19.2 Detection of Vitamin C…………………………………… 27 hapter 3 Detectability and Reliability of Vitamin C Using MRS .1 Motives……………………………………………………… 33.2 Materials and Methods……………………………………… 37.2.1 In vivo Spectra Collection and Analyses……… 37.2.2 Virtual Titration……………………………… 41.3 Results……………………………………………………… 45.3.1 In Vivo Spectra Analysis…………………………… 45.3.2 Virtual Titration…………………………………… 52.4 Discussions………………………………………………… 61.5 Future Work………………………………………………… 70 hapter 4 Conclusion…………………………………………………… 73eferences …………………………………………………………………… 751795656 bytesapplication/pdfen-US維他命C頻譜臨床磁共振頻譜單點像素解析頻譜線性疊加模型vitamin C spectrumclinical MRStraditional PRESSLCModelthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/188022/1/ntu-98-F92921041-1.pdf