中国医疗设备2016，Vol.31Issue(10)：29-32,4.DOI:10.3969/j.issn.1674-1633.2016.10.009
海马与胼胝体3D纹理分析在阿尔兹海默症诊断中的比较
Comparison between Hippocampus and Corpus Callosum 3D Texture Analysis in the Diagnosis of AD
于鲁 1刘卫芳1
作者信息
- 1. 首都医科大学生物医学工程学院，北京 100069
- 折叠
摘要
Abstract
Objective Tocompare the differences between the hippocampus and corpus callosum in diagnosis of Alzheimer’s disease (AD) and mild cognitive impairment (MCI) based on MR images. Methods Altogether 21AD patients, 21 MCI patients and 21 normal controls (NC) were selected and three-dimensional texture of their hippocampus and corpus callosum was extracted. The characteristic parameters were selected through variance analysis. And the data was processed by using linear discriminant analysis (LDA) and nonlinear discriminant analysis (NDA). Afterwards, a BP (Back Propagation) neural network model was built to classify and identify AD patients and MCI patients from NC. The different effects of hippocampus and corpus callosum texture in the classiifcation results were compared.Results According to the classiifcation and identiifcation results of AD, MCI and NC by using LDA and NDA, hippocampus demonstrated higher classiifcation accuracy than the corpus callosum; no matter among two groups (ADvsMCI, ADvsNC and MCIvsNC) and three groups (AD, MCI and NC), and for the same training group and the testing group, hippocampus had higher classiifcation accuracy than the corpus callosum. Hippocampus achieved 100% classiifcation accuracy for the training group. Conclusion The neural network model using three-dimensional texture features can categorize patients with AD and MCI, and the classiifcation accuracy of hippocampus is higher than that of corpus callosum.关键词
海马/胼胝体/纹理分析/阿尔兹海默症/轻度认知障碍Key words
hippocampus/corpus callosum/texture analysis/Alzheimer’s disease/mild cognitive impairment分类
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于鲁,刘卫芳..海马与胼胝体3D纹理分析在阿尔兹海默症诊断中的比较[J].中国医疗设备,2016,31(10):29-32,4.
