• DocumentCode
    863623
  • Title

    In silico radiation oncology: combining novel simulation algorithms with current visualization techniques

  • Author

    Stamatakos, Georgios S. ; Dionysiou, Dimitra D. ; Zacharaki, Evangelia I. ; Mouravliansky, Nikolaos A. ; Nikita, Konstantina S. ; Uzunoglu, Nikolaos K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
  • Volume
    90
  • Issue
    11
  • fYear
    2002
  • fDate
    11/1/2002 12:00:00 AM
  • Firstpage
    1764
  • Lastpage
    1777
  • Abstract
    The concept of in silica radiation oncology is clarified in this paper. A brief literature review points out the principal domains in which experimental, mathematical, and three-dimensional (3-D) computer simulation models of tumor growth and response to radiation therapy have been developed. Two paradigms of 3-D simulation models developed by our research group are concisely presented. The first one refers to the in vitro development and radiation response of a tumor spheroid whereas the second one refers to the fractionated radiation response of a clinical tumor in vivo based on the patient´s imaging data. In each case, a description of the salient points of the corresponding algorithms and the visualization techniques used takes place. Specific applications of the models to experimental and clinical cases are described and the behavior of the models is two- and three-dimensionally visualized by using virtual reality techniques. Good qualitative agreement with experimental and clinical observations strengthens the applicability of the models to real situations. A protocol for further testing and adaptation is outlined. Therefore, an advanced integrated patient specific decision support and spatio-temporal treatment planning system is expected to emerge after the completion of the necessary experimental tests and clinical evaluation.
  • Keywords
    Monte Carlo methods; cancer; decision support systems; digital simulation; medical computing; physiological models; radiation therapy; reviews; tumours; virtual reality; advanced integrated patient specific decision support; clinical cases; clinical observations; clinical tumor; experimental observations; experimental tests; fractionated radiation response; in silica radiation oncology; spatio-temporal treatment planning system; three-dimensional visualization; tumor growth; Biomedical applications of radiation; Computational modeling; Computer simulation; Data visualization; Fractionation; In vitro; Mathematical model; Neoplasms; Oncology; Silicon compounds;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/JPROC.2002.804685
  • Filename
    1046955