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| 研究生： |
蕭為中 Wei-jhong Siao |
|---|---|
| 論文名稱： |
圖形處理器之高性能運算系統：應用於即時功能性磁振造影之研究 GPU-Accelerated High Performance Computing System: Application to Real-Time Functional Magnetic Resonance Imaging |
| 指導教授： |
黃騰毅
Teng-yi Huang |
| 口試委員: |
林益如
Yi-ru Lin 莊子肇 Tzu-chao Chuang 林發暄 Fa-hsuan Lin 王福年 Fu-nien Wang |
| 學位類別： |
碩士 Master |
| 系所名稱： |
電資學院 - 電機工程系 Department of Electrical Engineering |
| 論文出版年： | 2011 |
| 畢業學年度： | 99 |
| 語文別： | 中文 |
| 論文頁數： | 43 |
| 中文關鍵詞： | 功能性磁振造影 、多核心平行運算架構 、一般線性模型 、即時功能性磁振造影 |
| 外文關鍵詞： | functional magnetic resonance image (fMRI), massively parallel computation kernels, general linear model analysis (GLM), real-time functional magnetic resonance image (r |
| 相關次數： | 點閱：242 下載：1 |
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本研究的目的是建立即時功能性磁振造影系統。透過功能性磁振造影研究者能夠觀察神經活化區域的血氧濃度比，確認該區域大腦皮質區的活動。而運算首先藉由高斯濾波器，將影像做平滑處理，而後使用一般線性模型找出大腦中之神經元活化區塊。本實驗利用大量核心的圖形處理器組成的多核心平行運算架構，透過溝通介面將MATLAB與C做連結，整合GPU中的各個核心。將每個像素的平滑濾波運算以及T檢定係數運算安排成大量的工作，交由圖形處理器的平行運算核心做運算。在此結合下，我們利用了個人電腦完成了即時功能性磁振造影，活化區的定位能在一秒之內完成。
This study attempts to build a real-time functional magnetic resonance imaging system (rtfMRI) to monitor blood-oxygen-level-dependent (BOLD) signal during fMRI experiment. To detect the BOLD signal change, a Gaussian filter and a general linear model analysis were performed on MRI images immediately subsequent to image acquisitions. A graphic processing unit (GPU) with massively parallel computation kernels was used to accelerate the image processing [i.e. gaussian filter and general linear model analysis (GLM)]. The GPU program was compatible to MATLAB environment through a communication interface of MATLAB and C language. Using GPU computation, the analysis of rtfMRI could be accomplished in less than 1 second in a conventional personal computer.
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