目前磁振頻譜已經廣泛的應用在各方面，並且配合各種的後續處理方法能得
知代謝物的濃度，且代謝物對人體的影響非常大，但由於代謝物的濃度變動甚
微，提供絕對濃度的定量的方法影響也更重要。
本次研究提供了分割方法，例如使用三維區域成長方法能將灰質、白質、和
腦脊髓液加以區分，且提供使用者手動分割來校對的功能。最後利用LCModel
後續處理工具提供的定量方法，利用分割的結果來進行部分體積效應校正與代謝
物濃度分析。結果顯示了此論文提出的工具能進一步的提升代謝物的濃度精確
度。

Magnetic resonance spectroscopy is now in widespread use, which with various
tools of spectra analysis can provide concentrations of metabolites. The influence of
metabolites on human physiology is greatly. Due to the tiny variation of the
concentration in various metabolites, the analytic method used in the quantitative
determination of the absolute concentrations of metabolites plays an important role in
this research area.
In this thesis we present an analysis tool for segmentation of white matter, gray
matte and cerebrospinal fluid using region growing with spatial space, and provide
manual interaction for exception handling in this subject. Then we use this tool to
analyze different percentages of white matter and gray matter with the default
parameter by LCModel and correct partial volume effect. The results show that the
proposed tool can improve significantly the accuracy in absolute quantitative analysis
of concentration.

Abstract 1
Chapter 1. Introduction 4
1.1. BACKGRAOUND OF SEGMENTATION METHODS................................................5
1.2. MOTIVATION ...................................................................................................8
1.3. OUTLINE .........................................................................................................9
Chapter 2. Methods 10
2.1. SEGMENTATION.............................................................................................10
2.1.1. Localization of Skull ............................................................................12
2.1.2. T1 Map.................................................................................................14
2.1.3. Region Growing ...................................................................................17
2.2. LOCALIZATION..............................................................................................18
2.2.1. Pfile......................................................................................................22
2.2.2. DICOM ................................................................................................23
2.3. LCMODEL ....................................................................................................25
2.3.1. Water-Scaling.......................................................................................26
2.4. DATA PROCESSING.........................................................................................28
Chapter 3. Results 29
3.1. SEGMENTATION.............................................................................................29
3.2. PARAMETER OF WATER SCALING ..................................................................29
3.3. MANUAL INTERACTION.................................................................................32
3.3.1. Manual Selection .................................................................................32
3.3.2. Reset the Parameters ...........................................................................35
Chapter 4. Discussion 38
4.1. DEFAULT PARAMETERS OF PROGRAM ...........................................................38
4.1.1. Priority.................................................................................................38
4.1.2. Seed Point Missing...............................................................................40
4.2. CONCENTRATIONS ACCURACY ......................................................................42
4.3. CONCLUSIONS AND FUTURE WORK...............................................................42
References 46

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