• DocumentCode
    901975
  • Title

    Nanodosimetric cluster size distributions of therapeutic proton beams

  • Author

    Wroe, Andrew J. ; Schulte, Reinhard ; Bashkirov, Vladimir ; Rosenfeld, Anatoly B. ; Keeney, Brian ; Spradlin, Patrick ; Sadrozinski, Hartmut F W ; Grosswendt, Bernd

  • Author_Institution
    Centre for Med. Radiat. Phys., Univ. of Wollongong, NSW, Australia
  • Volume
    53
  • Issue
    2
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    532
  • Lastpage
    538
  • Abstract
    As we move into the new millennium, it is important that we improve our understanding of radiation effects on humans and nanoelectronic systems. This understanding is essential in a number of areas including radiation therapy for cancer treatment and extended human presence in outer space. Nanodosimetry in low-pressure gases enables measurement of the energy deposition of ionizing radiation on a scale equivalent to the dimensions of the DNA molecule. This is extremely important for not only biological applications but also electronic applications, as the effect of radiation on nanoelectronics needs to be determined before they are installed and deployed in complex radiation fields. However, before nanodosimetry can be widely applied, further investigation is required to link the output of gas-based nanodosimeters to the actual effect of the radiation on a biological or electronic system. The purpose of this research is to conduct nanodosimetric measurements of proton radiation fields at the proton accelerator of Loma Linda University Medical Center (LLUMC) and to develop a Monte Carlo simulation system to validate and support further developments of experimental nanodosimetry. To achieve this, measured ion cluster size distributions are compared to the output from the Monte Carlo simulation system that simulates the characteristics of the LLUMC beam line and the performance of the nanodosimeter installed on one of LLUMC´s proton research beam lines.
  • Keywords
    Monte Carlo methods; biological effects of ionising particles; dosimeters; dosimetry; nanoelectronics; proton effects; radiation therapy; Monte Carlo simulation system; biological system; cancer treatment; gas-based nanodosimeters; ion cluster size distributions; ionizing radiation energy deposition; low-pressure gases; nanodosimetric ion cluster size distributions; nanoelectronics; proton radiation fields; radiation effects; radiation therapy; therapeutic proton beams; Biomedical applications of radiation; Cancer; Energy measurement; Gases; Humans; Nanobioscience; Particle beam measurements; Particle beams; Protons; Radiation effects; GEANT4; Monte Carlo; nanodosimetry; proton;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2006.870445
  • Filename
    1621359