ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC Original Paper

Research and application of beam auto-modeling method for three-dimensional conformal radiation therapy treatment planning system

Funds:  Supported by NNSF of China (11375182).
Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2015.09.007
More Information
  • Author Bio:

    LI Jia, female, born in 1982, PhD/engineer. Research field: plasma physics. E-mail: lijia@ustc.edu.cn

  • Corresponding author: CHEN Zhi
  • Received Date: 10 October 2014
  • Accepted Date: 27 January 2015
  • Rev Recd Date: 27 January 2015
  • Publish Date: 30 September 2015
  • To insure the accuracy of irradiation, the three-dimensional conformal radiation therapy (3DCRT) treatment planning system (TPS) should, based on the types and orientations of the beam, automatically calculate the source position and the field size of the irradiation beam to cover the target (tumor) volume while avoiding excessive irradiation of the surrounding tissues. A beam modeling method was developed: first, based on the derived matrix of coordinate system transformation, the 3D patient model is tranfered from the patient coordinate system to the beam coordinate system; then, the iso-center coordinate of the target is caculated, from which the coordinate of the beam source is derived; finally, the target volume is projected onto the iso-center plane to identify the field size of the irradiation beam. By implementing of this method, the beam modeling module was developed with features of 3D visualization and a friendly user interface. The accuracy and efficiency of this module was verified based on the benchmark cases of the AAPM report 55 and the clinical patient image data by testing and comparing it with the beam modeling module of a commercial 3DCRT TPS.
    To insure the accuracy of irradiation, the three-dimensional conformal radiation therapy (3DCRT) treatment planning system (TPS) should, based on the types and orientations of the beam, automatically calculate the source position and the field size of the irradiation beam to cover the target (tumor) volume while avoiding excessive irradiation of the surrounding tissues. A beam modeling method was developed: first, based on the derived matrix of coordinate system transformation, the 3D patient model is tranfered from the patient coordinate system to the beam coordinate system; then, the iso-center coordinate of the target is caculated, from which the coordinate of the beam source is derived; finally, the target volume is projected onto the iso-center plane to identify the field size of the irradiation beam. By implementing of this method, the beam modeling module was developed with features of 3D visualization and a friendly user interface. The accuracy and efficiency of this module was verified based on the benchmark cases of the AAPM report 55 and the clinical patient image data by testing and comparing it with the beam modeling module of a commercial 3DCRT TPS.
  • loading
  • [1]
    Philip M. Anatomical imaging for radiotherapy[J]. Physics in Medicine and Biology, 2008, 53 (12): 151-191.
    [2]
    Borfeld T. IMRT: A review and preview[J]. Phys Med Biol, 2006, 51(13): R363.
    [3]
    Hu Y, Zhang H, Dai J. Radiation Oncology Physics[M]. Beijing: Atomic Energy Press, 1999, 36-37. (in Chinese)
    [4]
    Li J, Long P, Luo Y, et al. Research and application of a fast 3D-reconstruction method in accurate radiotherapy treatment planning system[J]. Nuclear Techniques, 2010, 33(1): 69-73.
    [5]
    Yang D, Wu Z, Luo Z. Coordination systems for three-dimension radiation treatment planning[J]. Nuclear Techniques, 2004, 27(2):155-160. (in Chinese)
    [6]
    Zhang Y, Bajaj C. Adaptive and quality quadrilateral/hexahedral meshing from volumetric data[J]. Computer Methods in Applied Mechanics and Engineering, 2006,195 (9-12): 942-960.
    [7]
    Microsoft Corporation. Microsoft Foundation Classes (MFC) Manual[EB/OL]. [2015-01-01] http://msdn.microsoft.com/zh-cn/library/te3z014d.aspx.
    [8]
    VTK. VTK Introduction[EB/OL]. [2015-01-01] http://www.vtk.org.
    [9]
    Miller D. Radiation treatment planning dosimetry verification[R]. College Park, MD: Radiation Therapy Committee Task Group, American Association of Physicists in Medicine, 1995: AAPM Report 55.
  • 加载中

Catalog

    [1]
    Philip M. Anatomical imaging for radiotherapy[J]. Physics in Medicine and Biology, 2008, 53 (12): 151-191.
    [2]
    Borfeld T. IMRT: A review and preview[J]. Phys Med Biol, 2006, 51(13): R363.
    [3]
    Hu Y, Zhang H, Dai J. Radiation Oncology Physics[M]. Beijing: Atomic Energy Press, 1999, 36-37. (in Chinese)
    [4]
    Li J, Long P, Luo Y, et al. Research and application of a fast 3D-reconstruction method in accurate radiotherapy treatment planning system[J]. Nuclear Techniques, 2010, 33(1): 69-73.
    [5]
    Yang D, Wu Z, Luo Z. Coordination systems for three-dimension radiation treatment planning[J]. Nuclear Techniques, 2004, 27(2):155-160. (in Chinese)
    [6]
    Zhang Y, Bajaj C. Adaptive and quality quadrilateral/hexahedral meshing from volumetric data[J]. Computer Methods in Applied Mechanics and Engineering, 2006,195 (9-12): 942-960.
    [7]
    Microsoft Corporation. Microsoft Foundation Classes (MFC) Manual[EB/OL]. [2015-01-01] http://msdn.microsoft.com/zh-cn/library/te3z014d.aspx.
    [8]
    VTK. VTK Introduction[EB/OL]. [2015-01-01] http://www.vtk.org.
    [9]
    Miller D. Radiation treatment planning dosimetry verification[R]. College Park, MD: Radiation Therapy Committee Task Group, American Association of Physicists in Medicine, 1995: AAPM Report 55.

    Article Metrics

    Article views (23) PDF downloads(68)
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return