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活体肝细胞磷31磁共振波谱数据分类
引用本文:桑君,刘毅慧,王韶卿,刘强,成金勇.活体肝细胞磷31磁共振波谱数据分类[J].计算机工程与应用,2011,47(9):236-239.
作者姓名:桑君  刘毅慧  王韶卿  刘强  成金勇
作者单位:1. 山东轻工业学院,信息科学与技术学院,智能信息处理研究所,济南,250353
2. 山东省医学影像学研究所,济南,250021
基金项目:山东省自然科学基金,山东省教育厅高等学校科研汁划项目,山东省医药卫生科技发展项目
摘    要:基于活体肝细胞的31P磁共振波谱图(31Phosphorus Magnetic Resonance Spectroscopy,31P-MRS)对肝细胞数据进行诊断,分为3种类型:肝癌、肝硬化和正常肝。分别运用线性分类器和二次分类器对数据分类,并在分类前进行了特征抽取。线性分类器和二次分类器在"留一法"中对上述3种类型的分类准确率分别约为81.37%、77.75%、92.30%和95.27%、99.89%、99.70%。实验证明二次分类器相对于线性分类器,明显地提高了分类准确率。

关 键 词:31P  磁共振波谱  线性判别分析  二次分类器
修稿时间: 

Classification of 31phosphorus magnetic resonance spectroscopy data for liver cell in vivo
SANG Jun,LIU Yihui,WANG Shaoqing,LIU Qiang,CHENG Jinyong.Classification of 31phosphorus magnetic resonance spectroscopy data for liver cell in vivo[J].Computer Engineering and Applications,2011,47(9):236-239.
Authors:SANG Jun  LIU Yihui  WANG Shaoqing  LIU Qiang  CHENG Jinyong
Affiliation:1.Institute of Intelligence Information Processing,School of Information Science and Technology,Shandong Institute of Light Industry,Jinan 250353,China 2.Shandong Medical Imaging Research Institute,Jinan 250021,China
Abstract:Data based on ^31 phosphorus magnetic resonance spectroscopy map of liver cells in vivo are divided into three diagnostic types of hepatocellular carcinoma,hepatic cirrhosis and normal hepatic tissue.The data are classified using linear classifier and quadratic classifier separately,and main features are selected before classification.Classification accuracy rate of the data in leave-one-out method when linear classifier and quadratic classifier are used are about 81.37%、77.75%、92.30% and 95.27%、99.89%、99.70% separately.Experiments prove that the classification accuracy rate of the data when quadratic polynomial classifier is used is obviously improved,compared to linear classifier.
Keywords:31phosphorus  magnetic resonance spectroscopy  linear discriminant analysis  quadratic classifier
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