• DocumentCode
    3239664
  • Title

    Diagnosing prostate diseases in color Doppler ultrasound images

  • Author

    Chuan-Yu Chang ; Cheng-Min Fan ; Yuh-Shyan Tsai

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Yunlin Univ. of Sci. & Technol., Yunlin, Taiwan
  • fYear
    2012
  • fDate
    14-16 Aug. 2012
  • Firstpage
    250
  • Lastpage
    253
  • Abstract
    To detect early prostate cancer, physicians usually apply the color Doppler ultrasound imaging to visualize prostate. Since color Doppler ultrasound imaging provides blood flow information, differentiating the malignancy from benign prostate diseases by inspecting Doppler spectrum is not difficult. However, it is hand-held, time-consuming, and only limited in a small and static region, which might not represent the real status of the whole prostate. Therefore, this paper proposed a dynamic approach to estimate resistive index of blood flow in color Doppler ultrasound images. Experimental results show dynamic resistive index is better than conventional resistive index, and comparable with PSA test in diagnosing prostate cancer, indicating high performance of the proposed approach, which also reveals feasible and effective of it.
  • Keywords
    biomedical ultrasonics; cancer; image colour analysis; inspection; medical image processing; Doppler spectrum inspection; benign prostate disease; blood flow information; color Doppler ultrasound imaging; dynamic resistive index; prostate cancer detection; prostate disease diagnosis; prostate visualization; resistive index estimation; Blood flow; Doppler effect; Image color analysis; Indexes; Prostate cancer; Ultrasonic imaging; Color Doppler Ultrasound; Resistive Index; transrectal ultrasound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Security and Intelligence Control (ISIC), 2012 International Conference on
  • Conference_Location
    Yunlin
  • Print_ISBN
    978-1-4673-2587-5
  • Type

    conf

  • DOI
    10.1109/ISIC.2012.6449753
  • Filename
    6449753