臺灣博碩士論文加值系統

近年來許多學者紛紛提出人工免疫系統(Artificial Immune System,AIS)的理論與研究，並於各領域中受到廣泛之使用，唯獨不見其對醫學頻譜影像上的應用。本研究為一種嶄新的方法，旨在建立一種適合醫學頻譜影像分割的人工免疫系統網路；透過人工免疫系統網路，於多頻譜影像中龐大的資訊而進行處理，此項處理亦即對腦部各組織的分割，最後則是分別呈現單一組織影像來顯示實驗的結果，進而提供醫師較迅速的組織參考資料，能夠更有效率、準確地判斷病灶之所在，才能爭取更多時間，進行後續動作的執行。為了證實本方法之可行性與效率，採用了ROC(Receiver Operating Curve)準則與概似比估計值(Likelihood Ratios)做一個多方面的評估，並且與雙層感知機網路、FCM方法等比較，證明了本實驗提出之方法是可行且優異的。

A lot of experts propose research about Artificial Immune System, and it has been widely used to a lot of fields, few applications are reported in medical image. This experiment is a brand-new application, and the purpose is to set up a kind of ais network suitable for medical image classification. Use the artificial immune system network to deal with the huge multi-spectral image data, meaning is the classification that the brain tissue. Finally, show the single tissue's image as result of the experiment. Offer reference information of tissue to a doctor quickly. More efficiently and more accurately. In order to verify the feasibility and efficiency of this method. We have used ROC (Receiver Operating Curve) method and Likelihood Ratios to assessment in many aspects. We compare with the Perceptron network of double layers, FCM method, prove AIS can be operated and fine.

中文摘要 --------------------------------------------------------------------------- i
英文摘要 --------------------------------------------------------------------------- ii
誌謝 --------------------------------------------------------------------------- iii
目錄 --------------------------------------------------------------------------- iv
表目錄 --------------------------------------------------------------------------- vi
圖目錄 --------------------------------------------------------------------------- vii
第一章 緒論--------------------------------------------------------------------- 1
1.1 研究動機--------------------------------------------------------------- 1
1.2 研究目的與方法------------------------------------------------------ 3
1.3 文獻回顧--------------------------------------------------------------- 7
1.3.1 人工免疫系統--------------------------------------------------------- 7
1.4 章節架構--------------------------------------------------------------- 8
第二章 自然免疫系統--------------------------------------------------------- 9
2.1 簡介--------------------------------------------------------------------- 9
2.2 免疫系統的概念------------------------------------------------------ 9
第三章 人工免疫系統--------------------------------------------------------- 14
3.1 起源--------------------------------------------------------------------- 14
3.2 人工免疫系統之於工程應用問題--------------------------------- 16
第四章 人工免疫系統之演算法--------------------------------------------- 17
4.1 陰性選擇演算法------------------------------------------------------ 18
4.2 aiNet--------------------------------------------------------------------- 19
4.3 RLAIS------------------------------------------------------------------ 20
4.4 免疫遺傳演算法------------------------------------------------------ 20
4.5 複製選擇演算法------------------------------------------------------ 21
第五章 MRI--------------------------------------------------------------------- 25
5.1 原理--------------------------------------------------------------------- 25
5.2 組織效應--------------------------------------------------------------- 26
5.3 組織特性--------------------------------------------------------------- 26
第六章 AIS之CSA應用於MR影像之分類------------------------------- 28
6.1 影像之預備知識------------------------------------------------------ 28
6.1.1 灰階影像與二值影像------------------------------------------------ 28
6.1.2 頻譜影像--------------------------------------------------------------- 29
6.2 CSA於MR影像之分割--------------------------------------------- 30
第七章 評估方法與實驗結果------------------------------------------------ 38
7.1 假造影像--------------------------------------------------------------- 38
7.2 評估方法--------------------------------------------------------------- 41
7.3 實驗結果--------------------------------------------------------------- 44
7.3.1 假造腦部MR影像之實驗結果------------------------------------- 44
7.3.2 實際腦部MR影像之實驗結果------------------------------------- 56
第八章 結論--------------------------------------------------------------------- 59
參考文獻 --------------------------------------------------------------------------- 61

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