- 學位論文
應用多頻譜影像技術於內視鏡影像辨識食道早期癌變病灶之研究
Identification of Early Cancerous Lesion of Esophagus with Endoscopic Images by Multispectral Image Technique
摘要
本論文提出一種應用內視鏡結合多頻譜影像技術於辨識食道早期癌之方法，研究內容分為兩個部份：第一部份為利用多頻譜影像系統分析模擬的食道內視鏡影像頻譜；第二部份則應用主成分得分圖將得到的平均模擬頻譜做分類。本系統為利用多頻譜影像技術以及主成分分析原理實現本研究。實驗結果表明白光、碘染色，以及窄頻成像(Narrow-band imaging, NBI)內視鏡影像經由主成分得分圖的結果，我們可以清楚地辨識出食道正常、癌前病變、癌變，以及上皮內乳頭狀微血管環(intra-epithelial papillary capillary loop, IPCL)型態的頻譜特徵。未來我們希望能夠利用此技術，有效並快速地提升醫生診斷效率，幫助病患進行早期治療。
並列摘要
This study presents a method to identify early esophageal cancer within endoscope using hyperspectral imaging technology. The research samples are three kinds of endoscopic images including white light endoscopic, chromoendoscopic, and narrow-band endoscopic images with different stages of pathological changes (normal, dysplasia, dysplasia - esophageal cancer, and esophageal cancer). Research is divided into two parts: first, we analysis the reflectance spectra of endoscopic images with different stages to know the spectral responses by pathological changes. Second, we identified early cancerous lesion of esophagus by principal component analysis (PCA) of the reflectance spectra of endoscopic images. Based on the results, the use of hyperspectral imaging technology in the early endoscopic esophageal cancer lesion image recognition helps clinicians quickly diagnose. We hope for the future to have a relatively large amount of endoscopic image by establishing a hyperspectral imaging database system developed in this study, so the clinician can take this repository more efficiently preliminary diagnosis.