擴散張量影像是一種磁振造影的技術，主要應用在腦神經疾病的研究與治療，更
進一步可進行神經纖維追蹤來建構腦神經網路。目前已有許多的工具能夠達成纖
維追蹤的功能，但是在使用者層面上面仍有許多的不便，如各種函式的熟悉與學
習。過去的研究人員也研發出解決上述問題的工作排程系統。然而使用這樣的系
統，仍有其他的問題，例如環境的設置、運算的耗時等。本研究的目標是建構出
以擴散連結矩陣為主軸的雲端排程運算系統且藉由圖形卡運算來做運算加速，並
且以網頁來當成使用者介面。當我們在系統上分析十六組受試者資料後統整出以
此系統來運算整體時間花費減少百分之二十七，因為局部機率分佈的部分平均從
九百分鐘加速至三十三分鐘。總結，雲端排程系統可以有效提升使用的方便性並
且加速運算。

Diffusion tensor imaging (DTI) is a technology of MRI, which is used in the researches
and clinical applications. Recent advances in DTI have allowed tracking fibers in brain
and building the fiber networks. There are several tools which can achieve this analysis.
The recent pipeline system further simplified the operations. But the entry barrier of
using these systems is still high because of the requirements of specific environments
of software and hardware. In this thesis, we present a cloud pipeline system with a
website as the user interface and parallel acceleration to calculate the structural
connectivity matrix. Group analysis of 16 subjects revealed that the totally computing
time reduced 27%. In conclusion, the cloud pipeline system proposed in this thesis
could effectively facilitate the analysis of DTI.

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