The Study on MR Image Texture Features of Cerebral Infarction Patients

VernacularTitle:脑梗塞患者MR图像纹理特征的研究
Author: Chunhong LIU ; Zhen ZHOU ; Ying WANG
Publication Type:Journal Article
Keywords: cerebral infarction; Co-occurrence Matrix; Run-length Matrix; MRI
From: Chinese Journal of Medical Physics 2010;27(1):1607-1609
CountryChina
Language:Chinese
Abstract: Objective:Based on Co-occurrence Matrix and Run-length Matrix,we studied cerebral infarction patients' MR image texture characters.The aim is to investigate the differences of lesion textures characters between patients' groups and normal control groups,so that we can use this tiny change to realize early diagnosis of cerebral infarction.Methods:Texture features were extracted from MR images of patients and normal control groups respectively.Fisher test was applied to choose valid textures characters and made features classifier.Results:Linear discriminant analysis can achieve 88.31% classification accuracy.This demonstrated that cerebral infarction patients and normal control groups have the differences of textures Characters in MR image.Conclusion:We can discover cerebral infarction patients' MR image texture characters change by texture analysis,so that early diagnosis of cerebral infarction would be realized.