• DocumentCode
    1594024
  • Title

    3D TRUS Image Segmentation in Prostate Brachytherapy

  • Author

    Ding, Mingyue ; Gardi, Lori ; Wei, Zhouping ; Fenster, Aaron

  • Author_Institution
    Inst. for Pattern Recognition & Artificial Intelligence, Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    7170
  • Lastpage
    7173
  • Abstract
    Brachytherapy is a minimally invasive interventional surgery used to treat prostate cancer. It is composed of three steps: dose pre-planning, implantation of radioactive seeds, and dose post-planning. In these procedures, it is crucial to determine the positions of needles and seeds, measure the volume of the prostate gland. Three-dimensional transrectal ultrasound (TRUS) imaging has been demonstrated to be a useful technique to perform such tasks. Compared to CT, MRI or X-ray imaging, US image suffers from low contrast, image speckle and shadows, making it challenging for segmentation of needles, the prostates and seeds in the 3D TRUS images. In this paper, we reviewed 3D TRUS image segmentation methods used in prostate brachytherapy including the segmentations of the needles, the prostate, as well as the seeds. Furthermore, some experimental results with agar phantom, turkey and chicken phantom, as well as the patient data are reported
  • Keywords
    biomedical ultrasonics; brachytherapy; cancer; image segmentation; medical image processing; phantoms; 3D TRUS image segmentation; agar phantom; chicken phantom; dose post-planning; dose preplanning; prostate brachytherapy; prostate cancer; radioactive seed implantation; three-dimensional transrectal ultrasound imaging; turkey phantom; Brachytherapy; Image segmentation; Imaging phantoms; Minimally invasive surgery; Needles; Oncological surgery; Position measurement; Prostate cancer; Ultrasonic imaging; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616162
  • Filename
    1616162