臺灣大學: 生醫電子與資訊學研究所陳志宏張佳銘Chang, Chia-MingChia-MingChang2013-03-212018-07-052013-03-212018-07-052011http://ntur.lib.ntu.edu.tw//handle/246246/250076由於大腦的結構複雜，並且大腦神經功能會隨著不同的性別、年齡與人種產生改變，因此在神經認知科學研究上許多資料的分析，需要標準的大腦圖譜為基準。為了建立構造與功能的關連性，西方學者Talairach就訂立一套三度空間座標系統，搭配上大體解剖的腦切片互相對照，建立廣為人使用的圖譜。之後為了有群體代表性，Montreal Neurologic Institute (MNI)收集了305筆的大腦MRI影像。並藉由重新定位，線性變型等影像處理步驟，將此三百餘人的大腦影像進行平均並且在Talairach所訂立的三維座標系上建立了以群體為基礎的大腦圖譜MNI 305，此方法也為後世製作圖譜的準則。之後MNI又分別建立了ICBM_152與Collins_27標準圖譜，皆廣受世界所應用。 然而經由過去實驗發現[1]，東西方人種在腦部的大小與形狀上有明顯的差異，若是在華人功能性磁振影的資料分析上直接套用由西洋人種大腦所建立的MNI圖譜，反應區域會較不符合解剖的構造；為了解決此問題，醫學影像實驗室收集了95筆大腦MRI影像，採用與MNI圖譜相似的處理程序，建立了Taiwan University Chinese Brain Template (NTU template)。但是目前NTU template仍缺乏神經功能的分區無法直接應用在華人功能性磁振影的資料分析上；為了解決此問題，我們建立了一套利用光流(Optical flow)估計影像形變的非線性對位演算法，將NTU template與ICBM_152模板影像進行非線性影像對位，並把ICBM_152所帶的神經功能分區信息映射至NTU template上。將本論文的對位方式與目前常被使用的神經認知分析軟體所帶的對位功能進行比較，發現本論文所採用的方式能得到更佳的對位結果。 應用NTU template於華人的神經認知功能性影像實驗分析上，能得到更合理的判讀結果。並且藉由比較NTU template與ICBM_152的功能區分佈比例，發現東西方人腦功能區的分佈存在差異，而此差異主要是由結構上非線性形變所造成的。未來我們將以非線性對位的方式建立一組更高解析度的圖譜，希望在大腦功能定位、神經科學研究及臨床醫學應用上有所助益。Most data analyses were developed based on the standard brain template in the field of neuroimaging research, because of the complexity and variability of human brain. For figuring out the relationship between brain function and structure, Talairach set a three-dimensional coordinate system, cooperating with the postmortem brain autopsy, and thus a worldwide adopted standard brain atlas was created. For the purpose of anatomic representation of general population, Montreal Neurologic Institute (MNI) collected 305 brains MRI image, and adopted image processing methods such as realignment and transformation to create a population-based standard brain template by averaging three hundreds brain dataset and this process became standard method for building template. The MNI also created ICBM_152 and colin27 which both are worldwide adopted nowadays. However the difference of brain structures between western and eastern people was observed in past experiment [1]. The mismatch issue may lead to bias or inappropriate interpretation in neurocognitive studies. In this thesis, NTU Medical Image Lab recruited ninety-five subjects and developed the National Taiwan University standard brain template (NTU template)[1] based on the process of MNI template. But NTU template lacked of functional area information, which can’t be used on fMRI study directly. To solve this problem, we established an optical flow nonlinear registration algorithm, spatial normalizing ICBM_152 to NTU template and mapped ICBM_152’s functional area information to NTU template. Compared with other fMRI software’s registration function, we found that the method we used can provide better registration result. Using NTU template in fMRI data analyses can get more precise localization in fMRI experiments. After compared functional area distribution between NTU template and ICBM_152, we found that distribution exist different between eastern and western，which caused by structure’s nonlinear deformation. In the future, we will work on higher resolution template, which may benefit in neuroscience study, human brain mapping and clinical applications.2785925 bytesapplication/pdfen-US華人大腦圖譜MNI圖譜圖譜影像對位功能性磁振造影NTU templateMNI templateatlasImage registrationFunctional magnetic resonance imaging (fMRI)thesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/250076/1/ntu-100-R98945009-1.pdf