中国科学院光电技术研究所机构知识库
Advanced  
IOE OpenIR  > 光电技术研究所被WoS收录文章  > 期刊论文
题名:
Fluorescence spectral imaging for characterization of tissue based on multivariate statistical analysis
作者: Qu, JNY; Chang, HP; Xiong, SM
刊名: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
出版日期: 2002-09-01
卷号: 19, 期号:9, 页码:1823-1831
文章类型: Article
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
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/3487
Appears in Collections:光电技术研究所被WoS收录文章_期刊论文

Files in This Item:

There are no files associated with this item.


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

Recommended Citation:
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.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Qu, JNY]'s Articles
[Chang, HP]'s Articles
[Xiong, SM]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Qu, JNY]‘s Articles
[Chang, HP]‘s Articles
[Xiong, SM]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院光电技术研究所 - Feedback
Powered by CSpace