• DocumentCode
    191019
  • Title

    Optimization of IMRT treatment plan with Kinetic Data Structures

  • Author

    Allen, David ; Daescu, Ovidiu

  • Author_Institution
    Univ. of Texas at Dallas, Richardson, TX, USA
  • fYear
    2014
  • fDate
    2-4 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The use of radiation to treat malignant cancer involves exposing cancerous cells to an elevated dose of radiation in order to destroy the diseased tissue. One of the foremost challenges in planning such treatments is ensuring that healthy tissue, which can also be damaged by the radiation, is avoided. As the cancerous cells are often close in proximity to healthy tissues, it is almost impossible to avoid some exposure. Some organs or tissues may also be less capable of absorbing radiation than others or more essential in function, and these should be given higher priority for avoidance when formulating a successful treatment plan. We have developed a data structure and associated algorithm to optimize a form of radiotherapy called Intensity Modulated Radiation Therapy or IMRT by using a Kinetic Data Structure (KDS) to keep track of the total overlapping area between the target tumor and any surrounding tissues.
  • Keywords
    cancer; data structures; optimisation; radiation therapy; tumours; IMRT treatment plan optimization; intensity modulated radiation therapy; kinetic data structures; malignant cancer treatment; organs; radiation absorption; target tumor; Biological systems; Cancer; Data structures; Educational institutions; Kinetic theory; Target tracking; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4799-5786-6
  • Type

    conf

  • DOI
    10.1109/ICCABS.2014.6863921
  • Filename
    6863921