• DocumentCode
    1839319
  • Title

    A Model-Aided Segmentation in Urethra Identification Based on an Atlas Human Autopsy Image for Intensity Modulated Radiation Therapy

  • Author

    Yan Song ; Muller, B. ; Burman, C. ; Mychalczak, B. ; Yulin Song

  • Author_Institution
    Univ. of Houston, Houston
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    3532
  • Lastpage
    3535
  • Abstract
    In order to protect urethra in radiation therapy of prostate cancer, the urethra must be identified and localized as an organ at risk (OAR) for the inverse treatment planning in intensity modulated radiation therapy (IMRT). Because the prostatic urethra and its surrounding prostate tissue have similar physical characteristics, such as linear attenuation coefficient and density, it is difficult to distinct the OAR from the target in CT images. To localize the urethra without using contrast agent or additional imaging modalities other than planning CT images, a different approach was developed using a standard atlas of human anatomy image. This paper reports an investigation, in which an adult urethra was modeled based on a human anatomic image. An elastic model was build to account for a uniform tissue deformation of the prostate. This model was then applied to patients to localize their urethras and preliminary results are presented.
  • Keywords
    biomechanics; cancer; computerised tomography; elastic deformation; image segmentation; intensity modulation; medical image processing; physiological models; radiation therapy; tumours; CT images; IMRT; atlas human autopsy image; human anatomy image; intensity modulated radiation therapy; inverse treatment planning; linear attenuation coefficient; model-aided segmentation; organ-at-risk localization; prostate cancer; uniform tissue deformation; urethra identification; urethra protection; Attenuation; Autopsy; Biomedical applications of radiation; Computed tomography; Humans; Image segmentation; Intensity modulation; Prostate cancer; Protection; Standards development; Computer Simulation; Humans; Male; Models, Anatomic; Models, Biological; Prostatic Neoplasms; Radiographic Image Interpretation, Computer-Assisted; Radiotherapy, Computer-Assisted; Radiotherapy, Conformal; Subtraction Technique; Tomography, X-Ray Computed; Urethra;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353093
  • Filename
    4353093