臺灣博碩士論文加值系統

近年來由於電腦科技的快速發展，醫學上診斷疾病的方式也隨之改變，醫學影像傳輸系統 (Picture Archiving and Communication System) 便是最好的實例，它改變了醫學影像的診斷方式，由以往的傳統X光片而改為直接於電腦螢目上做診斷，於此技術的應用下，所有型態的醫學影像都朝向數位化發展，此也提供了利用電腦技術來輔助醫師做疾病診斷的機會。在本論文中，我們提出一種胸部X光影像之異常自動篩檢的方法，其內容包含四個部分：第一部分為前置處理的程序，其目的在於區分胸部X光影像之正位和側位像，以利於後續的分析；第二部分為本方法最主要的程序，其針對胸部X光影像之大面積異常進行偵測；第三部分針對如何降低計算上所需的時間做進一步的探討；第四部分則將上述之方法實作成一系統並於臨床上進行測試。本論文的主要方法是藉由分析胸部X光影像之投影曲線來達到異常偵測的目的，而各方法的鑑別效能則是利用Receiver Operating Characteristic Analysis之方法來分析。結果中顯示，我們所提出的方法達到一定程度的鑑別效能，於未來發展上具有臨床實用的潛力。

As computer technologies are developed rapidly in recent years, the ways to diagnose diseases also alter in clinical practice. Picture Archiving and Communication System (PACS) is an example that makes the diagnostic way for medical images change from view box to monitor. All types of medical images tend to be digitized and this makes it practical for helping doctor diagnose medical images via computer technologies. In this thesis, we propose a systemic approach to screen abnormalities in chest radiographs. First, a preprocess step identifying the view of chest radiographs is introduced. Second, a method is proposed for automated detection of gross abnormal opacity in chest radiographs. Third, computation time reduction is performed by subsampling. Finally, a computer-aided diagnosis system is implemented and evaluated in a clinical environment. Major technique used in this thesis is to analyze the projection profile obtained by projecting a chest image on to the mediolateral axis. The discriminant performance for each method is evaluated by using receiver operating characteristic (ROC) analysis. The results indicate that the proposed methods are potentially useful for screening abnormalities in chest radiographs.

Abstract..................................................1
1. Introduction...........................................3
1.1 Overview of Computerized Analysis for Chest Radiographs..........3
1.2 Outline of this Thesis..............................11
2. Identification of the View of Chest Radiographs.......13
2.1 Objectives..........................................13
2.2 Materials...........................................15
2.3 Method..............................................16
2.4 Results.............................................22
2.5 Discussion..........................................24
3. Detection of Gross Abnormal Opacity...................27
3.1 Objectives..........................................27
3.2 Materials...........................................28
3.3 Method..............................................30
3.4 Results.............................................39
3.5 Discussion..........................................43
4. Computation Time Reduction............................45
4.1 Objectives..........................................45
4.2 Method..............................................46
4.3 Results.............................................47
4.4 Discussion..........................................51
5. Evaluation in a Clinical Environment..................53
5.1 Objectives..........................................53
5.2 Materials and Methods...............................55
5.3 Results.............................................62
5.4 Discussion..........................................67
6. Conclusions...........................................72
References...............................................75

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