本研究目標是架設一個通用的雲端醫學影像處理平台，試圖以雲端運算技術來處理軟硬體設備上的困難以及減輕使用者操作上的複雜度。平台將醫學影像分析視為一個輸入輸出的系統，只要開發人員將分析系統調整成資料分析的輸入輸出系統，即可將分析放在平台提供使用者使用，而平台上所提供的使用者介面、資料上傳系統、資料回傳、電子郵件通知等，這些都由本平台來處理，開發人員並不需要具備網路程式實作的知識。而以使用者觀點，在平台上所提供的不同演算法，則可類比於智慧型手機系統中的應用軟體，本平台則可類比為應用軟體發布平台，目前平台所提供的雲端計算有靜息態影像神經連結度分析、大腦皮質厚度計算以及注意力缺陷與過動症病例分類等。正在持續的增加中，希望透過持續地改良，雲端計算平台將能夠加速醫學影像研究，對醫事技術的進步作出一些貢獻。

In this thesis, the major goal is to establish a general computing platform for medical image analysis. We attempt to apply cloud computing to avoid the complexity of preparing the initial environment of medical image analysis and to facilitate user operations. The platform considers the image analysis as a simple input and output system. The web programming knowledge is not required for the developers. The user interface, file upload and result collection systems as well as email notifications are provided by this platform. In the point of the operator’s view, the medical analysis program can be regarded as “APP” in the smart phone and the platform can be considered as “APP Store”. The platform now provides cloud computations for resting-state fMRI analysis, voxel-based cortical thickness, and classifications of ADHD groups. This platform in potentially practical in improving the workflow of medical image analysis.

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