| dc.contributor | 應用物理研究所 | |
| dc.creator (作者) | 蔡尚岳;尼大衛 | zh_TW |
| dc.date (日期) | 2012 | |
| dc.date.accessioned | 19-Apr-2016 11:41:10 (UTC+8) | - |
| dc.date.available | 19-Apr-2016 11:41:10 (UTC+8) | - |
| dc.date.issued (上傳時間) | 19-Apr-2016 11:41:10 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/85565 | - |
| dc.description.abstract (摘要) | 谷氨酸是大腦一種重要的興奮性神經傳導物質，。在核磁共振頻譜上，谷氨酸本身頻 譜特性相當複雜，同時會跟麩醯胺重疊；目前利用迴訊時間平均法，可以簡化谷氨酸 譜線同時減少麩醯胺的影響，對於谷氨酸定量很有用，此方法需平均約十六個不同迴 訊時間的頻譜，因此會增加掃描時間，造成此方法在應用上，難以配合頻譜影像;本計 畫為延續目前100 年度正在進行的一年期計畫，利用快速面回訊頻譜影像技術來減少 掃描時間，以建立谷氨酸分布影像及定量方法，而本延伸計畫旨在量化的探討利用傳 統掃描方式和回訊時間平均法，在大腦谷氨酸濃度定量上的準確性，並將針對及各種 大腦代謝物，探討這兩種方法量測時的重現性；我們可以透過自行研發的定量方式， 針對兩種方法做濃度定量及校正，我們量化比較的方法為，先利用LCModel 來比較定 量時的可信度，再透過重現性實驗，來比較兩種方法在濃度量測上的準確度；我們先 在普通橫切面上比較，再進一步利用矢狀切面探討大腦內側壁上的代謝訊息。此掃描 方法完成後將具有下列特質；臨床可行的掃描時間，包含單一大腦切面的二維頻譜影 像，具矢狀切面掃描可行性，建立量測重現性的資訊，已利受試者間或長期掃描的比 較；本計畫的完成對於未來許多臨床研究有相當大的幫助，例如藥物造成的谷氨酸改 變，神經退化疾病谷氨酸濃度的長期變化等。 | |
| dc.description.abstract (摘要) | Glutamate (Glu) as the most prevalent excitatory neurotransmitter in the brain plays an important role in many clinical researches. The quantification of Glu itself in MR spectrum is difficult duo to its complex spectral shape and overlapping with other metabolites especially Glutamine. TE averaged (TEavg) method is proposed to simplify the Glu shape while minimize the Gln contribution which offers a potential opportunity to extract Glu contents alone. The trade off is the need to collect spectra from multiple TE. A general setting of 16 TEs protocol costs 16 times more scan time which lowers the feasibility of TEavg method as MRSI is desired. This project is extended from the ongoing project starting from 2011.08 to 2012.07, which is proposed to finish the TEavg MRSI protocol using fast MRSI methods, proton echo planar spectroscopy imaging (PEPSI), and set up post processing procedures for quantification. As an extension of current project, this project is aimed to quantitatively compare TEavg PEPSI and regular constant short TE (TEcon) PEPSI on the quantification of Glu concentrations. Further, in term of application, we will evaluate the reproducibility of these two methods for all metabolites of interest in the brain. Base on self-developed post processing procedures, we can quantitatively measure and calibrate the metabolites concentrations for TEavg and TEcon protocols. The improvement in Glu quantification with TEavg protocol will be verified using LCModel based on reliability of fitting and using reproducibility of regional concentrations based on coefficient of variance. The comparison will be first conducted in regular transverse plane. Then we will investigate the metabolite information especially Glu in medial wall which contains key anatomical structures of the limbic system and regions involved in top-down modulatory processes. In the final, the established protocols will facilitate following properties; 1) clinical acceptable acquisition time; 2) better spatial coverage in 2D slice; 3) feasible for saggital slice to cover medial wall; 4) knowledge of reproducibility for longitudinal and inter subject comparison. The achievement of this project will open up clinical research such as longitudinal effects of drug therapy and drug monitoring, long term alternation for patients with neuronal disorder diseases. | |
| dc.format.extent | 3426337 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | 計畫編號 NSC 101-2320-B004-001-MY2 | |
| dc.title (題名) | 利用快速頻譜影像技術量測大腦谷安酸濃度分布(II) | zh_TW |
| dc.title.alternative (其他題名) | Quantitative Mapping of the Cerebral Glutamate Concentrations Using Fast Magnetic Resonance Spectroscopic Imaging Technique (II) | |
| dc.type (資料類型) | report | |
