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A collaboratory for radiation therapy treatment planning optimization research

Author

Listed:
  • J. Deasy
  • E. Lee
  • T. Bortfeld
  • M. Langer
  • K. Zakarian
  • J. Alaly
  • Y. Zhang
  • H. Liu
  • R. Mohan
  • R. Ahuja
  • A. Pollack
  • J. Purdy
  • R. Rardin

Abstract

Intensity modulated radiation therapy treatment planning (IMRTP) is a challenging application of optimization technology. We present software tools to facilitate IMRTP research by computational scientists who may not have convenient access to radiotherapy treatment planning systems. The tools, developed within Matlab and CERR (computational environment for radiotherapy research), allow convenient access, visualization, programmable manipulation, and sharing of patient treatment planning data, as well as convenient generation of dosimetric data needed as input for treatment plan optimization research. CERR/Matlab also provides a common framework for storing, reviewing, sharing, and comparing optimized dose distributions from multiple researchers. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • J. Deasy & E. Lee & T. Bortfeld & M. Langer & K. Zakarian & J. Alaly & Y. Zhang & H. Liu & R. Mohan & R. Ahuja & A. Pollack & J. Purdy & R. Rardin, 2006. "A collaboratory for radiation therapy treatment planning optimization research," Annals of Operations Research, Springer, vol. 148(1), pages 55-63, November.
    • Handle: RePEc:spr:annopr:v:148:y:2006:i:1:p:55-63:10.1007/s10479-006-0079-7
    DOI: 10.1007/s10479-006-0079-7
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    Cited by:

    1. Dunbar, Michelle & O’Brien, Ricky & Froyland, Gary, 2020. "Optimising lung imaging for cancer radiation therapy," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1038-1052.
    2. Alessandro Agnetis & Alberto Coppi & Matteo Corsini & Gabriella Dellino & Carlo Meloni & Marco Pranzo, 2014. "Operations management e sanit?: un sistema di supporto alle decisioni per la programmazione della chirurgia elettiva," MECOSAN, FrancoAngeli Editore, vol. 2014(90), pages 55-69.
    3. Joana Dias & Humberto Rocha & Brígida Ferreira & Maria Lopes, 2014. "A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(3), pages 431-455, September.

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