LED Induced Autofluorescence Imaging System for Oral Cancer Detection by Multi-Spectrum

• Main Authors: Cheng, Nai-Lun, 鄭乃綸
• Other Authors: Ou-Yang, Mang
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/80893374906288054853

碩士 === 國立交通大學 === 生醫工程研究所 === 105 === Oral cancer has been one of the main causes of death in both developing countries and developed countries over the past few decades. In addition to the economic burden of patients and their family, related medical care has been the main issue of national health. According to World Health Organization (WHO), more than 300000 new case of oral cancer has occur and caused 145000 death in 2012. Therefore, the detection of oral cancer has been the main topic of modern medical research. In this study, a hand-held imaging system with light-emitting diode (LED) excitation light and emission filter was used to screening oral mucosa tissues for oral cancer detection. The hand-held imaging system can be divided into two versions based on the number of the filter on the filter ring and the intensity of the light-emitting diode. The filter ring of version 1 and version2 imaging system contain four places and seven places for emission filter respectively.The difference between tumor tissue and normal tissue can be discriminate by the excitation light of LED with specific wavelength. Compare with the traditional method of naked-eye detection, the method of this study using multispectral fluorescent image provide a more objective detection method. Image will be excited by the light-emitting diode (LED) and pass through the selected spectral filter. Each grayscale intensity image of the fluorescent image’s RGB intensity is used for analysis. Both spatial and spectral methods are used in the analysis. Spatial analytical methods include entropy and fractal dimension, and spectral analytical methods include intensity and histogram. Data used in analysis will divide into two groups to implement the self-validation and cross-validation procedure. Finally, the average accuracy of self-validation and cross-validation is 83.48% using version 2 hand-held imaging system by 405nm excitation with Bi505 emission filter. In order to increase the efficiency of oral cancer detection, all kinds of excitation LED, emission filter and methods will be combined with the weight calculated by AUC. Finally, the sensitivity, specificity and accuracy of oral cancer detection are 94.44%, 85.18% and 89.81% respectively using version 1 imaging system. As for version2 imaging system, the sensitivity, specificity and accuracy of oral cancer detection are 88.35%, 88.35% and 88.35%. Finally, the specific emission filter will be picked up for oral cancer detection. Using version 1 imaging system with BP525 emission filter for oral cancer detection, the sensitivity, specificity and specificity are 90.74%, 68.52 and 79.63%.Compare with the full combination of methods, the oral cancer detection by BP525 emssion filter has much lower performance. Compare to version 1 imaging system, version 2 imaging system with BN470 and Bi505 emission filter have better performance. Version 1 imaging system with BN470 emission filter for oral cancer detection, the sensitivity, specificity and specificity are 89.32%, 86.41% and 87.86%, and the sensitivity, specificity and specificity can be better with Bi505 emission filter which are 89.32%, 89.32% and 89.32%.