首都医科大学学报 ›› 2003, Vol. 24 ›› Issue (3): 240-242.

• 论著·基础研究 • 上一篇    下一篇

肝纤维化图像的灰度共生矩阵分析

童隆正1, 王磊1, 陈海荣1, 陈瑞芬2, 贺文3   

  1. 1. 首都医科大学生物医学工程学院;2. 首都医科大学病理解剖学教研室;3. 首都医科大学附属北京友谊医院
  • 收稿日期:2002-06-13 修回日期:1900-01-01 出版日期:2003-07-15 发布日期:2003-07-15

Analysis of Images on Hepatic Fibroses with Gray Level Co-occurence Matrix

Tong Longzheng1, Wang Lei1, Chen Hairong1, Chen Ruifen2, He Wen3   

  1. 1. Biomedical Engineering Institute, Capital University of Medical Sciences;2. Pathology Department, Capital University of Medical Sciences;3. Bingjing Friendship Hospital
  • Received:2002-06-13 Revised:1900-01-01 Online:2003-07-15 Published:2003-07-15

摘要: 采用灰度共生矩阵方法,分别提取纤维化肝组织和正常肝组织CT图像的各种纹理特征,如能量、熵等进行对比研究。结果:正常组和异常组之间存在显著性差异。提示该项研究可为肝纤维化CT图像临床诊断提供依据

关键词: 纹理分析, 肝纤维化, 灰度共生矩阵, CT图像

Abstract: In this paper, texture analysis method for medical CT images is presented for the discrimination of hepatic fibroses between the normals and abnormals by CT images. The CT images of the patients with hepatic fibroses and those of the normals were analyzed, and the effective parameters to distinguish them based on co-occurrence matrix were found.

Key words: texture analysis, hepatic fibroses, GLCM, CT

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