关节软骨的红外光谱成像及支持向量机定量研究

傅里叶变换红外光谱成像(FTIRSI)技术可同时获得样本组织的显微结构信息和红外光谱信息,结合化学计量学算法可用于样品光谱信息的定量分析和组织判别的研究.基于此,本实验采用FTIRSI技术结合支持向量机分类(SVC),实现健康和病变关节软骨组织的判别,其识别率分别为100.0％ 和95.4％,准确率达到97.7％;基于FTIRSI建立支持向量回归(SVR)模型定量研究关节软骨样本中胶原蛋白和蛋白多糖两种生物大分子的含量与分布,发现病变关节软骨中蛋白多糖的含量发生流失,尤其在表层区.研究结果表明,FTIRSI与支持向量机(SVM)相结合有望成为一种新型的骨关节炎诊断工具,对骨关节炎监测和诊断研究...

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Published in分析化学 Vol. 46; no. 6; pp. 896 - 901
Main Authors 翟明阳, 赵远, 高浩, 尚林伟, 徐浩, 尹建华
Format Journal Article
LanguageChinese
Published 南京航空航天大学自动化学院生物医学工程系,南京,210016 2018
Subjects
蛋白多糖
Proteoglycan
支持向量机
胶原蛋白
Articular cartilage
Collagen
骨关节炎
关节软骨
Support vector machine
Osteoarthritis
Fourier transform infrared spectroscopic imaging
傅里叶变换红外光谱成像
Online AccessGet full text
ISSN0253-3820
DOI10.11895/j.issn.0253-3820.181017

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Abstract 傅里叶变换红外光谱成像(FTIRSI)技术可同时获得样本组织的显微结构信息和红外光谱信息,结合化学计量学算法可用于样品光谱信息的定量分析和组织判别的研究.基于此,本实验采用FTIRSI技术结合支持向量机分类(SVC),实现健康和病变关节软骨组织的判别,其识别率分别为100.0％ 和95.4％,准确率达到97.7％;基于FTIRSI建立支持向量回归(SVR)模型定量研究关节软骨样本中胶原蛋白和蛋白多糖两种生物大分子的含量与分布,发现病变关节软骨中蛋白多糖的含量发生流失,尤其在表层区.研究结果表明,FTIRSI与支持向量机(SVM)相结合有望成为一种新型的骨关节炎诊断工具,对骨关节炎监测和诊断研究具有重要意义.
AbstractList 傅里叶变换红外光谱成像(FTIRSI)技术可同时获得样本组织的显微结构信息和红外光谱信息,结合化学计量学算法可用于样品光谱信息的定量分析和组织判别的研究.基于此,本实验采用FTIRSI技术结合支持向量机分类(SVC),实现健康和病变关节软骨组织的判别,其识别率分别为100.0％ 和95.4％,准确率达到97.7％;基于FTIRSI建立支持向量回归(SVR)模型定量研究关节软骨样本中胶原蛋白和蛋白多糖两种生物大分子的含量与分布,发现病变关节软骨中蛋白多糖的含量发生流失,尤其在表层区.研究结果表明,FTIRSI与支持向量机(SVM)相结合有望成为一种新型的骨关节炎诊断工具,对骨关节炎监测和诊断研究具有重要意义.
Abstract_FL Fourier transform infrared spectroscopic imaging (FTIRSI) technology can simultaneously obtain microstructure information and infrared spectral information of the samples. The method of FTIRSI combined with chemometric algorithms can be used for quantitative analysis of sample spectral information and tissue discrimination research. Based on this, FTIRSI and support vector machine classification (SVC) for the first time were used in this work to discriminate healthy and degenerated articular cartilage, with high accuracies of 100％ and 95. 4％ , respectively, and sum accuracy of 97. 7％ . The support vector regression (SVR) model was used to quantitatively study the contents and distribution of two biomacromolecules, collagen and proteoglycan, in articular cartilage. The proteoglycan loss occurred in the degenerated articular cartilage, especially in the superficial area. This study indicates that the combination of FTIRSI and support vector machine (SVM) is expected to become a new diagnostic tool for osteoarthritis, which is of great significance for the early diagnosis and research of osteoarthritis.
Author 高浩
徐浩
尚林伟
赵远
翟明阳
尹建华
AuthorAffiliation 南京航空航天大学自动化学院生物医学工程系,南京,210016
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Author_FL YIN Jian-Hua
XU Hao
GAO Hao
ZHAI Ming-Yang
ZHAO Yuan
SHANG Lin-Wei
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DocumentTitle_FL Quantitative Study on Articular Cartilage By Fourier Transform Infrared Spectroscopic Imaging and Support Vector Machine
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Issue 6
Keywords 蛋白多糖
Proteoglycan
支持向量机
胶原蛋白
Articular cartilage
Collagen
骨关节炎
关节软骨
Support vector machine
Osteoarthritis
Fourier transform infrared spectroscopic imaging
傅里叶变换红外光谱成像
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PublicationTitle 分析化学
PublicationTitle_FL Chinese Journal of Analytical Chemistry
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Publisher 南京航空航天大学自动化学院生物医学工程系,南京,210016
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Title 关节软骨的红外光谱成像及支持向量机定量研究
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