• DocumentCode
    1299312
  • Title

    Survey: Real-Time Tumor Motion Prediction for Image-Guided Radiation Treatment

  • Author

    Verma, Poonam S. ; Wu, Huanmei ; Langer, Mark P. ; Das, Indra J. ; Sandison, George

  • Volume
    13
  • Issue
    5
  • fYear
    2011
  • Firstpage
    24
  • Lastpage
    35
  • Abstract
    Tumor motion caused by patient breathing creates challenges for accurate radiation dose delivery to a tumor while sparing healthy tissues. Image-guided radiation therapy (IGRT) helps, but there´s a lag time between tumor position acquisition and dose delivered to that position. An efficient and accurate predictive model is thus an essential requirement for IGRT success.
  • Keywords
    cancer; medical image processing; patient treatment; tumours; IGRT; image-guided radiation treatment; predictive model; radiation dose delivery; real-time tumor motion prediction; tumor position acquisition; Adaptive filters; Artificial neural networks; Biomedical image processing; Kalman filters; Maximum likelihood detection; Nonlinear filters; Predictive models; Tumors; IGRT; Image-guided radiation therapy; predictive models; scientific computing; tumor motion;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2010.99
  • Filename
    5551102
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1299312