臺灣博碩士論文加值系統

本論文之研究目的在於應用雙向濾波器對醫學影像作處理及探討，於本論文中主要探討的醫學影像為腹膜超音波影像及大腸內視鏡影像。不同於常用的線性濾波器，雙向濾波器為一種非線性的濾波方式，非線性濾波可以突破以往線性濾波在濾波效果的限制，在醫學影像中，使用線性濾波器經常會把重要的細節也一併濾除而無法得到滿意的效果，而基於雙向濾波器可以考慮空間以及強度上的關係來決定必須保留的部分，這樣的特性相當適合運用於醫學影像之處理。
於本論文中，雙向濾波器將探討即運用於大腸鏡影像及腹膜超音波影像，在第一部分關於大腸鏡影像的章節中，本論文提出一種結合小波轉換以及雙向濾波器擷取大腸鏡影像內血管壁的成分，展示如何移除大腸血管壁並且可以使用邊緣偵測找尋大腸皺褶。在第二部分關於超音波腹膜影像的章節中，本論文提出一種使用雙向濾波器濾除的細節強化原本的超音波影像使可能的腹膜區域更加清晰進而可以加以分割出所需要的腹膜區域，幫助醫師探討做腹膜透析患者的腹膜厚度變化。

In this thesis, we propose the method about how to use bilateral filters to analyze colonoscopy and ultrasound images. Bilateral filtering is a nonlinear filtering approach is different from the linear filter that was widely used. It can obtain better performance than that of linear filters. The linear filters usually remove the important details on medical images. On the other hand, bilateral filters can consider the spatial and intensity relationships in pixels and preserve the important details, which are very significant on analyzing medical images.
There are two topics in this thesis. First, we apply the bilateral filters on colonoscopy images. Both the bilateral filtering and wavelet transform are combined in our approach to remove the vascular network and keep the folding edges under Canny edge detection. Second, we apply the bilateral filters on ultrasound images. The proposed method can enhance the details in images by using bilateral filtering. The position of the peritoneum can be determined and the thickness can be measured automatically. The results will be helpful for doctors to reveal the connections between peritoneal dialysis patients the change of peritoneum thickness.

摘 要
ABSTRACT
誌謝
目錄
表目錄
圖目錄
第1章 緒論
1.1. 研究動機與目的
1.2. 相關研究
1.3. 研究方法
1.4. 論文架構
第2章 運用雙向濾波器濾除大腸鏡影像之血管網路
2.1. 雙向濾波器之發展及原理
2.2. 大腸鏡血管網路濾除方法概述
2.3. 小波轉換與次取樣
2.4. 以雙向濾波器處理次取樣後影像
2.5. 反小波轉換
2.6. 實驗結果
第3章 運用雙向濾波器自動測量超音波影像中之腹膜厚度 26
3.1. 自動測量超音波影像中腹膜厚度系統概述
3.2. 雙向濾波器階段 (Bilateral filter phase)與自動化二值化之門檻值
3.2.1. 超音波影像強化
3.2.2. 基於粒子群最佳化演算法決定門檻值
3.2.3. 物件之篩選與濾除
3.3. 高斯高通濾波器 (GHPF)階段
3.4. 腹膜區域分枝濾除
3.5. 實驗結果
3.5.1. 腹膜區域厚度分布計算
3.5.2. GUI使用者介面
第4章 結論與未來工作
4.1. 實驗結果比較與探討
4.2. 結論
4.3. 未來工作
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