Fluorescence spectral imaging for characterization of tissue based on multivariate statistical analysis

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	Fluorescence spectral imaging for characterization of tissue based on multivariate statistical analysis
	Qu, JNY ; Chang, HP ; Xiong, SM
刊名	JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
	2002-09-01
卷号	19 期号:9 页码:1823-1831
英文摘要	A novel spectral imaging method for the classification of light-induced autofluorescence spectra based on principal component analysis (PCA), a multivariate statistical analysis technique commonly used for studying the statistical characteristics of spectral data, is proposed and investigated. A set of optical spectral filters related to the diagnostically relevant principal components is proposed to process autofluoreseence signals optically and generate principal component score images of the examined tissue simultaneously. A diagnostic image is then formed on the basis of an algorithm that relates the principal component scores to tissue pathology. With autofluorescence spectral data collected from nasopharyngeal tissue in vivo, a set of principal component filters was designed to process the autofluoreseence signal, and the PCA-based diagnostic algorithms were developed to classify the spectral signal. Simulation results demonstrate that the proposed spectral imaging system can differentiate carcinoma lesions from normal tissue with a sensitivity of 95% and specificity of 93%. The optimal design of principal filters and the optimal selection of PCA-based algorithms were investigated to improve the diagnostic accuracy. The robustness of the spectral imaging method against noise in the autofluorescence signal was studied as well. (C) 2002 Optical Society of America.
WOS标题词	Science & Technology ; Physical Sciences
类目[WOS]	Optics
研究领域[WOS]	Optics
关键词[WOS]	IN-VIVO ; PREDICTIVE SPECTROSCOPY ; AUTOFLUORESCENCE ; ALGORITHM
收录类别	SCI
语种	英语
WOS记录号	WOS:000177616300010
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/3487]
专题	光电技术研究所_光电技术研究所被WoS收录文章
作者单位	1.Hong Kong Univ Sci & Technol, Dept Elect & Elect Engn, Kowloon, Hong Kong, Peoples R China 2.Chinese Acad Sci, Inst Opt & Elect, Sichuan 610209, Peoples R China
推荐引用方式 GB/T 7714	Qu, JNY,Chang, HP,Xiong, SM. Fluorescence spectral imaging for characterization of tissue based on multivariate statistical analysis[J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION,2002,19(9):1823-1831.
APA	Qu, JNY,Chang, HP,&Xiong, SM.(2002).Fluorescence spectral imaging for characterization of tissue based on multivariate statistical analysis.JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION,19(9),1823-1831.
MLA	Qu, JNY,et al."Fluorescence spectral imaging for characterization of tissue based on multivariate statistical analysis".JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION 19.9(2002):1823-1831.