• DocumentCode
    3580478
  • Title

    Geant4 - Study of Dose Curve Parameters of Tumor in Human Tissues Using Passive Proton Beam

  • Author

    Bhatnagar, Sonali ; Sirisha, S.N.L.

  • Author_Institution
    Dept. of Phys. & Comput. Sci., Dayalbagh Educ. Inst., Agra, India
  • fYear
    2014
  • Firstpage
    178
  • Lastpage
    185
  • Abstract
    A detailed Geant4 based study of the proton beam passing through different Inhomogenities in a human phantom is carried out. Whenever a proton beam is radiated through the tumor region a significant influence over the stopping power and the depth-dose distribution of the proton energy can be observed due to the adjacent materials. The effect of the heterogeneous medium in tumor has been studied by several groups to assess the ability of beam convolution which predicts the dose required. Adipose, bone and soft tissues materials are considered for the present study. The human organs along with the positioning of the tumor region were designed. The suitable energy range for each tumor of the human organ was optimized. The study was also followed with thickness variation of each material from 0.1 cm to 1.0 cm. Various parameters of the Bragg curve were computed i.e. Bragg peak position, range, penumbra width, full width at half maximum and dose of Bragg curve. A significant shift in the Bragg peak position is observed in each case i.e., Approx.-0.36% for muscular skeleton, -0.44% for soft tissue.
  • Keywords
    biological organs; bone; dosimetry; phantoms; proton beams; radiation therapy; tumours; Bragg curve dose; Geant4 toolkit; adipose material; beam convolution ability; bone material; human organ tumor; human phantom; human tissue; passive proton beam; proton energy depth-dose distribution; soft tissue material; tumor dose curve parameters; tumor region; Biological tissues; Kidney; Nonhomogeneous media; Particle beams; Phantoms; Protons; Bragg Peak Position; Inhomogenities; Penumbra width; Proton therapy; Range;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.50
  • Filename
    7065469