查詢結果分析
相關文獻
- Structural and Functional Image Registration Using Maximum Mutual Information
- 以模組化分類分析複合型連桿組之位置
- A Study of Iterative Procedures on SIMPLE-Like Algorithms for Viscous Incompressible Flows
- An Improved Computational Scheme for Solving Dynamic Optimization Problems with Iterative Dynamic Programming
- A Novel Economic Dispatch Approach
- 十八世紀蘇州米價的時間數列分析
- VLSI Architecture for Iteration-Free Fractal Image Decoding
- 利用疊代法重建影像以改善正子電腦斷層造影影像之研究
- Blind Separation of Co-Channel Digital Signals with Subspace-based Iterative Least-Square Techniques
- 最佳配適利率曲線存在性之探討
頁籤選單縮合
題名 | Structural and Functional Image Registration Using Maximum Mutual Information=以最大交互訊息進行結構性與功能性影像對位 |
---|---|
作者 | 黃曉玲; 林宏墩; 鍾炳濤; 林康平; Huang, Hsiao-ling; Lin, Hong-dun; Chung, Being-tau; Lin, Kang-ping; |
期刊 | Journal of Medical and Biological Engineering |
出版日期 | 20030900 |
卷期 | 23:3 2003.09[民92.09] |
頁次 | 頁111-118 |
分類號 | 410.1644 |
語文 | eng |
關鍵詞 | 醫學影像對位; 交互訊息; 疊代; Medical image registration; Mutual information; Iterative process; |
中文摘要 | 本論文主要利用影像處理技術發展一套影像對位系統,結合結構性與功能性醫療技術影像的特性,提供醫師對其主治部位之組織,進行準確的評估與診斷。首先利用影像相互位置之影像灰階值計算影像之交互訊息,再以彼此之交互訊息疊代幾何轉換參數,經過連續的疊代計算,影像之交互訊息與幾何轉換參數將收斂至一穩定狀態,利用影像最相似時具有最大交互訊息特性,獲得幾何轉換參數並進行影像對位。經由實驗驗證,本文所提出之影像對位系統,可利用於不同醫療技術的影像,並進行二維及三維之影像對位。希望藉由此對位系統提供醫學臨床上應用與發展。 |
英文摘要 | The technique of medical image radiography is developed for clinical diagnosis and application. Multi-modality image registration is designed to combine the information of medical image from different modalities and record at different times. The purpose is to register medical images such as magnetic resonance images (MRI) and positron emission tomography (PET) images using maximum mutual information (MI). The image registration system is designed as two phases: estimation of MI and image registration. One of the phases, MI is estimated the by statistical dependence or information redundancy between the image intensity of corresponding voxels in both images. The other phase is the parameters of the geometric transformation that are iteratively obtained by estimation of MI. In this paper, 2-D and 3-D registration techniques were developed and applied to medical image studies. The results show that it will be effective to use this study in image registration. The method is both accomplishable and suitable for clinical application. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。