• DocumentCode
    582887
  • Title

    MR image texture analysis of the corpus callosum in different gender patients with Alzheimer´s disease

  • Author

    Wang, Xu ; Yang, Huifang ; Tong, Longzheng ; Liu, Weifang

  • Author_Institution
    Sch. of Biomed. Eng., Capital Med. Univ., Beijing, China
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    290
  • Lastpage
    292
  • Abstract
    The aim of this article is to study the texture features of corpus callosum in patients with Alzheimer´s disease (AD) and normal controls based on magnetic resonance images. Then explore the texture differences of different gender between groups. Texture analysis was performed on 18 AD patients and 18 normal controls (NC). Texture features extracted from gray level co-occurrence matrix and run-length matrix were analyzed and the statistic significance was tested between groups. The results showed that texture features of corpus callosum yielded significant differences between AD and NC group. Male and female had different texture characters. The results indicated that texture analysis could be a useful tool for the detection of pathological changes in AD and the pathological changes may be different in the two genders.
  • Keywords
    biomedical MRI; diseases; feature extraction; image texture; matrix algebra; medical image processing; object detection; statistical testing; AD patients; Alzheimer disease; MR image texture analysis; corpus callosum; gender patients; gray level cooccurrence matrix; image texture feature extraction; magnetic resonance images; normal controls; pathological change detection; run-length matrix; statistic significance testing; texture characters; Biomedical engineering; Biomedical imaging; Dementia; Educational institutions; Feature extraction; Pathology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4577-2144-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2012.6391421
  • Filename
    6391421