The Design of Diagnosis System for the Degree of Laryngopharyngeal Reflux

• Main Authors: Kuo-Chang Lo, 羅國彰
• Other Authors: Sheng-Fuu Lin
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/34520355758027821716

碩士 === 國立交通大學 === 電機與控制工程系所 === 96 === Laryngopharyngeal reflux disease is caused by the acid in the refluxing process to make the larynx injured, and in esophagus or stomach also have others complications. Recently, in the clinical observation, the organs are inspected mainly through the endoscopy. As a result of the physician’s subjective, the clinical diagnosis accuracy is easy to be low. However, the standard way to diagnosis laryngopharyngeal reflux needs to be in hospital for 24-hours, and is not a physical examination, so it is not convenient in the clinic. In a situation of the laryngopharyngeal reflux can be diagnosed, the esophagus and the stomach also suffered the same lesions simultaneously. According to the standards of clinical diagnoses, system can help the physicians to diagnosis the degree of laryngopharyngeal reflux. The purpose of this thesis is to design a system which can analyze the image of fauces and separate the image with different region of fauces automatically. By collecting a lot of normal cases and symptom cases with others complications for statistic analysis and comparison to finding an objective way to assist the physician make a precise diagnosis with computer. The contributions of this thesis may be summarized as follows. First, use feature-based tracking technique to solve the disadvantage of time consuming when the suitable image of fauces is picked out from the endoscope image sequences by hand. Second, use the technique of the digital image processing, transforming the features of image to different values, in order to find the correct way for diagnosis. Third, complete a diagnosis system for the degree of laryngopharyngeal reflux. The experimental results show the system is satisfactory.