磁振頻譜可以非侵入性的探測人體組織中代謝物質的分佈及濃度，因為定位技術以及硬體的改良使得磁振頻譜在臨床上的應用越來越重要，加上後處理工具，如：LCModel提供使用者一個圖形介面讓使用者可以方便的對磁振頻譜影像進行分析，這更有助於磁振頻譜在臨床應用上的價值。

雖然LCModel可以快速的分析資料並且提供穩定的分析結果，但是LCModel並不能提供metabolite map以便讓使用者可以直接觀察代謝物在人體中的分佈情形，所以這次的研究便針對LCModel所產生的資料以及DICOM格式的磁振影像進行後處理，並且整合2D/3D metabolite map的顯示功能讓使用者可以同時觀察大腦中AP, SI, RL這三個不同切面的代謝物分佈情況。雖然活體內磁振頻譜可以對代謝物進行絕對定量，可是要得到絕對濃度有一定的難度，所以目前代謝物濃度通常表示成相對濃度。不過相對濃度畢竟不精確，因此絕對定量將越來越重要，而這個後處理工具相信屆時也將更適合應用在臨床上。

Magnetic Resonance Spectroscopy (MRS) can be applied to probe noninvasively the concentrations and distribution of metabolites of human tissue in vivo. As the improving of hardware and localization techniques, MRS becomes more and more important in clinical applications. Furthermore, some post-processing software, like LCModel, provide a graphical user interface for efficient and convenient analysis of MR spectroscopic imaging and thus increase the value of MRS applications.

Although LCModel provides an efficient analysis and produces stable results, it can not provide metabolite map to observe the distribution of metabolite concentrations. For this reason our study processes the output data of LCModel and Digital Imaging and Communications in Medicine (DICOM) format MR images for 2D/3D metabolite map displaying. Users can use this software to observe the metabolic distribution in AP, SI and RL slice of brain tissue. In the meanwhile, as the absolute quantification of MRS has played more and more important role in clinical applications, this study also provides the LCModel end users an easy way for interpretation.

Chapter 1 Introduction
1.1 Background
1.2 Literature Review
1.3 Motivation
1.4 Outline
Chapter 2 Theory and Methods
2.1 Fundamental of Magnetic Resonance Imaging
2.2 Fundamental of Magnetic Resonance Spectroscopy
2.3 MRS Localization Technique
2.4 Water and fat suppression
2.5 Post-Processing
2.5.1 Offset Correction
2.5.2 Removal of water peak
2.5.3 Zero Filling
2.5.4 Apodization
2.5.5 Phase Correction
2.5.6 Baseline Correction
2.6 LCModel
2.7 Quantification
2.8 DICOM standard
2.9 Open Graphic Library
2.10 Experiment Design
Chapter 3 Results
3.1 Overview of the software
3.2 Stand-alone GUI of analyzing and displaying proton 2D/3D MRSI data sets with LCModel
Chapter 4 Conclusion
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