• DocumentCode
    2176075
  • Title

    Characterization of Texture Features Between Carcinomatous and Normal Wall Tissue in MR Bladder Imaging

  • Author

    Shi, Zhengxing ; Yang, Jiacheng ; Zhang, Guopeng ; Lu, Hongbing ; Yang, Zengyue

  • Author_Institution
    Dept. of Comput. Applic., Fourth Mil. Med. Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Objective: To distinguish bladder wall tissue from bladder cancer tissue using the texture analysis in MR images. Method: with collected MRI scans for bladder imaging, the ROI (region of interest) area was first selected manually. Second, the texture features of bladder cancer and bladder wall tissue, such as entropy, uniformity et al, were calculated within the ROI. Third, statistical analysis was applied to these features to reflect their significance. Results: All the texture features were analyzed by t-test. Entropy, uniformity, smoothness, relation and contrast show significant differences between the two groups, while the differences for others are not significant. Conclusion: The preliminary results demonstrate significant differences in some texture features of bladder cancer compared to normal wall tissue. Additionally, more properties of bladder cancer might be obtained directly from patient´s MRI scanning.
  • Keywords
    biological organs; biomedical MRI; cancer; feature extraction; image texture; statistical analysis; tumours; MR bladder imaging; MRI scanning; bladder cancer tissue; bladder wall tissue; carcinomatous tissue; statistical analysis; t-test analysis; texture feature characterization; Biomedical imaging; Bladder; Cancer; Entropy; Hospitals; Magnetic resonance imaging; Medical diagnostic imaging; Muscles; Neoplasms; Oncological surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4132-7
  • Electronic_ISBN
    978-1-4244-4134-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2009.5304860
  • Filename
    5304860